Social and Behavioral Sciences Commons^™

Physical And Mental Disabilities Among The Gender-Diverse Population Using The Behavioral Risk Factor Surveillance System, Brfss (2017–2019): A Propensity-Matched Analysis, Jennifer R. Pharr, Kavita Batra

Environmental & Global Health Faculty Research

This propensity-matched analysis utilized the publicly available Behavioral Risk Factor Surveillance System (2017–2019) data to compare the burden of disabilities among transgender/non-binary (TGNB) and cisgender groups. The groups were matched (1:1 ratio) on demographic variables using Nearest Neighborhood Matching. Categorical variables were compared among groups using a Chi-square analysis to test differences in the proportions. Multivariate logistic regression analysis was fit to predict the likelihood of the physical and mental disabilities among the TGNB group compared with the cisgender group while controlling for healthcare access factors, income, and employment. Survey weights were included in the model to account for the …

Managing The Energy Trilemma In The Philippines, Josef Teofisto T. Yap, Aaron Joseph P. Gabriola, Chrysogonus F. Herrera

Ateneo School of Government Publications

Background

The transition to an energy mix with lower carbon emissions is hampered by the existence of the so-called Energy Trilemma. The primary consequence is a trade-off between various objectives of energy policy, e.g., equity and sustainability. This conflict can lead to policy gridlock if policymakers are unable to prioritize the goals. This paper proposes a framework and methodology to manage the trilemma by applying methods related to multi-criteria decision-making in order to assign weights to the various components of the trilemma.

Results

Following the International Energy Agency (IEA), an expanded concept of energy security is adopted and translates to …

Virginia Beach Flood Protection Program Bond Referendum Analysis, Robert Mcnab, Juita-Elena (Wie) Yusuf, Afi Anuar, Jessica Whitehead

Presentations, Lectures, Posters, Reports

[First paragraph of the Executive Summary]

On November 2, 2021, voters in the City of Virginia Beach will vote on a referendum that determines whether or not the City Council should increase real estate taxes to fund a Flood Protection Program. The proposal accelerates the construction of six flood mitigation projects already in the Virginia Beach Capital Improvement Plan by 3 years, and funds design and construction of 15 additional projects that would also be completed by 2031. This report, jointly produced by Old Dominion University’s Institute for Coastal Adaptation and Resilience (ICAR) and the Dragas Center for Economic Analysis …

Data Analysis Of The “2021 Covid, Equity And Social Justice Showcase”, Cristo Leon, James Lipuma

STEM Month

During the “2021 STEM for All Video Showcase” (NSF, 2021) funded by the National Science Foundation, 287 short videos showcasing federally funded projects aimed at improving STEM and CS education were presented.

The videos highlight strategies to engage students during COVID-19 and address educational inequities.

Users’ Sentiment Analysis Toward National Digital Library Of India: A Quantitative Approach For Understanding User Perception, Ritu Sharma, Sarita Gulati, Amanpreet Kaur, Rupak Chakravarty

Library Philosophy and Practice (e-journal)

Sentiment analysis is also known as opinion mining. Sentiment analysis is contextual mining of text which identifies and extracts subjective information in textual data. It is extremely used by business, educational organizations, and social media monitoring to gain the general outlook of the wide public regarding their product and policy. The current study looks for gaining insights into user reviews on the National Digital Library of India (NDLI) mobile app (android and iOS). For this purpose, sentiment analysis will be used. It yields an average of 3.64/5 ratings based on 11,861 reviews. The dataset includes a total of 4560 user …

Genetic Analysis Of Endometriosis And Depression Identifies Shared Loci And Implicates Causal Links With Gastric Mucosa Abnormality, Emmanuel Adewuyi, Divya Mehta, Yadav Sapkota, Asa Auta, Kosuke Yoshihara, Mette Nyegaard, Lyn R. Griffiths, Grant W. Montgomery, Daniel I. Chasman, Dale R. Nyholt

Research outputs 2014 to 2021

Evidence from observational studies indicates that endometriosis and depression often co-occur. However, conflicting evidence exists, and the etiology as well as biological mechanisms underlying their comorbidity remain unknown. Utilizing genome-wide association study (GWAS) data, we comprehensively assessed the relationship between endometriosis and depression. Single nucleotide polymorphism effect concordance analysis (SECA) found a significant genetic overlap between endometriosis and depression (PFsig-permuted = 9.99 × 10−4). Linkage disequilibrium score regression (LDSC) analysis estimated a positive and highly significant genetic correlation between the two traits (rG = 0.27, P = 8.85 × 10−27). A meta-analysis of endometriosis and depression GWAS (sample size = …

Novel Pilot Development Of A Closed-Loop Sustainable System Between Biogas Renewable Energy, Distilling, And Aquaculture By Vermiculture Of Stillage Wastes, Samuel C. Kessler

The Cardinal Edge

This study provides a mixed-methods approach in analyzing a potential closed-loop system between renewable biogas production from anaerobic digestion, vermiculture production, aquaculture production, and organic wastes with a particular focus on stillage wastes. Such system may hold significant promise for significantly reducing organic carbon and methane emissions from its components, and should be assessed for such. The 2021 IPCC report essentially identified methane reduction as the single fastest way to slow global warming (IPCC, 2021), making the study and implementation of methane-reducing systems and supportive policy for them critical. Knowledge gaps to implementing this system were qualitatively identified as disconnect …

Heat Exposure Effect On Ghanaian Mining Workers: A Mediated-Moderation Approach, Victor Fannam Nunfam, Ebenezer Afrifa-Yamoah

Research outputs 2014 to 2021

The lack of empirical evidence on the effect of heat exposure on the health and safety, productivity, psychological behaviour and social well-being outcomes of small- and large-scale mining workers in Africa has derailed concrete policy directions and interventions. An explanatory cross-sectional survey involving 320 small- and large-scale mining workers was used to assess this research gap. A path analysis was used to model health and safety, productivity, psychological behaviour and social well-being as a function of heat exposure, mediated and moderated by adaptation strategies and barriers, while controlling for age, gender, level of education, years of working experience and workplace …

Research On China’S Energy Development Strategy Under Carbon Neutrality, Jian Su, Yingbo Liang, Lin Ding, Guosheng Zhang, He Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

China has pledged to reach peak carbon dioxide emission by 2030, and carbon neutrality by 2060 at the Seventy-Fifth Session of the United Nations General Assembly in 2020. As the largest energy consumer and emitter of greenhouse gases, carbon peak and carbon neutrality targets have posed a high requirement for China's sustainable development of energy and economy. In recent years, even though the growth rate of China's energy consumption has decreased, and carbon dioxide emissions gradually enter the plateau, fossil fuels still supply more than 80% of the energy consumption in China. Besides learning from the adjustment of energy consumption …

Energy Revolution Under Vision Of Carbon Neutrality, Zhen Huang, Xiaomin Xie

Bulletin of Chinese Academy of Sciences (Chinese Version)

Climate change has emerged as one of the major challenges faced by mankind. It has become a non-traditional global security issue, which causes a serious threat to the survival of human being and sustainable development. China's commitment to peak carbon emissions by 2030 and achieve carbon neutrality by 2060 has important strategic significance for building a modern socialist country with harmonious coexistence between human and nature. Facing the challenge of China's carbon peak and carbon neutrality, this study proposes, through energy revolution, to promote electric decarbonization and zero carbonization power and zero carbonization fuel on the energy supply side, and …

Path Of Digital Technology Promoting Realization Of Carbon Neutrality Goal In China’S Energy Industry, Xiaohong Chen, Dongbin Hu, Wenzhi Cao, Wei Liang, Xuesong Xu, Xiangbo Tang, Yangjie Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

In the era of digital economy, digital technology is the best tool to achieve China's goal of carbon neutrality. The energy industry is the largest source of carbon emissions in China, and how to use digital technology to peak the carbon dioxide emissions and achieve carbon neutrality goal in energy industry has attracted widespread attention. The article first explains the important strategic role of digital technology in carbon neutrality, and then analyzes the related theoretical research and application progress of digital technology and carbon emission reduction in the literature, revealing the problems of current digital technology applied to carbon neutrality …

Toward Carbon Neutrality: Circular Economy Approach And Policy Implications, Wendong Wei, Zhujun Chen, Yong Geng, Wenqiu Cai, Hanbin Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

It is challenging to promote global climate change governance under the current complicated international contexts. As a country with the largest carbon emission, China has committed to achieve carbon peak by 2030 and carbon neutrality by 2060. However, carbon neutrality is a complex system engineering and relies on the implementation of circular economy. Based upon “3R” principles of reduce, reuse, and recycle, this study investigates the internal relations between circular economy and carbon neutrality and identifies the key position of circular economy in achieving carbon neutrality targets. Several policy implications are raised to help promote the development of circular economy …

Analysis On Transformation And Characteristics Of American Hydrogen Energy Strategy Under Carbon Neutralization Goal, Feng Wei, Xiaobo Ren, Lin Gao, Guoqing Gao, Chaofeng Zhou

Bulletin of Chinese Academy of Sciences (Chinese Version)

As an important means to achieve the goal of carbon neutralization, hydrogen energy has attracted global attention. As the United States has more than 30 years of practical experience in hydrogen energy R&D and application, this study conducts a detailed investigation on the hydrogen energy development plan and strategy formulated by the U.S. government, analyzes the U.S. hydrogen energy strategy and development objectives, direction and achievements since 1990, and focuses on the latest U.S. hydrogen energy development strategy in 2020 and the hydrogen energy breakthrough plan in 2021. It is concluded that the current US government has moved from initially …

Evaluating Economic And Social Benefits Of Accelerated Energy Transition, Hongyu Zhang, Xiaodan Huang, Da Zhang, Xiliang Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

To achieve carbon neutrality, China's energy system needs a radical transition, and the development of new energy is of central importance. Based on the integrated assessment modeling framework, this study compares economic and social costs and benefits between a scenario reflecting the current energy transition momentum and a scenario of accelerated energy transition. We show that the accelerated energy transition dominated by new energy is essential to achieve carbon neutrality before 2060 and the air quality target required by Beautiful China. The large development of wind and solar power will further reduce their technology costs and the overall energy costs, …

Cognition-Enhanced Machine Learning For Better Predictions With Limited Data, Florian Sense, Ryan Wood, Michael G. Collins, Joshua Fiechter, Aihua W. Wood, Michael Krusmark, Tiffany Jastrzembski, Christopher W. Myers

Faculty Publications

The fields of machine learning (ML) and cognitive science have developed complementary approaches to computationally modeling human behavior. ML's primary concern is maximizing prediction accuracy; cognitive science's primary concern is explaining the underlying mechanisms. Cross-talk between these disciplines is limited, likely because the tasks and goals usually differ. The domain of e-learning and knowledge acquisition constitutes a fruitful intersection for the two fields’ methodologies to be integrated because accurately tracking learning and forgetting over time and predicting future performance based on learning histories are central to developing effective, personalized learning tools. Here, we show how a state-of-the-art ML model can …

Forest Fire Effects On The Temporal Variability Of Landscape Snow Albedo Relative To Burn Severity, Max Gersh

Dissertations and Theses

Snow-water storage is decreasing, while forest fires are increasing in duration, size, frequency, and intensity, due to climate change. Most forest fires occur in the seasonal snow zone, altering snow mass and energy balance for many years following fire. Following forest fires, Surface snow albedo (SSA) decreases, as light absorbing particles (LAP), particularly black carbon (BC) produced in forest fires get deposited throughout the snowpack, altering snowpack energy balance driving earlier snowmelt in burned forests. While SSA decreases, landscape snow albedo (LSA) increases following fire, as more of the snow-covered surface becomes visible beneath the burned forest canopy, brightening the …

The View From Ventress - 2020-21 Academic Year, University Of Mississippi, College Of Liberal Arts

Liberal Arts Newsletters

News from the College of Liberal Arts

Accelerated Online Certificate In Quantum Computing, Joanna Burkhardt

Library Impact Statements

No abstract provided.

Becoming A Place Of Unrest : Environmental Crisis And Ecophenomenological Praxis, Robert Booth

Ohio University Press Open Access Books

The key to mitigating the environmental crisis isn’t just based on science; it depends upon a profound philosophical revision of how we think about and behave in relation to the world.

Our ongoing failure to interrupt the environmental crisis in a meaningful way stems, in part, from how we perceive the environment—what Robert Booth calls the "more-than-human world.” Anthropocentric presumptions of this world, inherited from natural science, have led us to better scientific knowledge about environmental problems and more science-based—yet inadequate—practical “solutions.” That’s not enough, Booth argues. Rather, he asserts that we must critically and self-reflexively revise how we perceive …

Radioactive Waste Management In St. Louis, Amanda Lopez

Undergraduate Research Symposium

In St. Louis, MO, we face a nuclear waste dilemma due to the poorly disposed uranium ore materials in the West Lake and Bridgeton landfill areas. The ethical dilemma can be seen as nuclear waste's intergenerational implications and the search for sustainable development options. This research evaluates the most environmentally responsible radioactive waste management strategies and attempts to find an equitable solution to the St. Louis radioactive waste dilemma.

Otoliths Of South-Western Australian Fish: A Photographic Catalogue, Chris Dowling, Kim Smith, Elaine Lek, Joshua Brown

Fisheries Research Reports

Due to the species-specific nature of otoliths and given they are often the only part of the fish preserved when fish die, otolith catalogues can be used in numerous applications, such as diet studies in fish eating animals, including pinnipeds, fish and sea birds; archaeological purposes such as reconstructing indigenous people’s diets from otoliths found in middens or evolutionary history of fish species by comparing fossilized otoliths. Given the unique mixture of subtropical and temperate fish, including many endemic species that occur off the southwest corner of WA having a catalogue for this area is extremely important for people working …

Citation Patterns In Chemistry Dissertations At A Mid-Sized University: An Internal Citation Analysis And External Comparison, Lisa M. Rose-Wiles

Library Publications

This study analyzes the references cited in 34 chemistry dissertations and compares the results with an earlier study of citations in American Chemical Society journals. The dissertations cite more references and older references and a greater diversity of sources. They have the same tendency to heavily cite journal articles from a small core of traditional journals. This study underscores the value of comparing internal citation analyses with external citation analyses, and of analyzing the number of citing authors as well as the number of citations. Interlibrary loan and internal usage statistics were also used to inform collection development and library …

College Of Natural Sciences Newsletter, September 2021, College Of Natural Sciences

College of Natural Sciences Newsletters and Reports

Volume 2, Issue 9.

Page 1 Dean's Message
Page 2 Awards and Recognition
Page 3 Student Clubs in Natural Science
Page 4 Media Coverage of CNS
Page 5 Hobo Day Festivities
Page 6 Open PRAIRIE Data; Grants Awarded in CNS
Page 7 One Day for State Recap

Connecting Communities To Coastal Resilience: Enhancing Sustainability Through Public Participation In Salt Marsh Management And Restoration In Suffolk County, Ny, Jennifer L. Mcgivern

Dissertations, Theses, and Capstone Projects

Coastal resiliency is becoming significantly more critical to the livelihood of coastal communities as the frequency and intensity of storm events increases and is exacerbated by rising sea levels due to climate change. In October 2012 Superstorm Sandy impacted the New York-New Jersey area costing over $70 billion in storm damages and 147 lives lost, as storm surges surpassed record highs for the region. Protruding more than 100 miles into the Atlantic Ocean with over 1,000 miles of shoreline, Long Island is particularly vulnerable to the increasingly ferocious and numerous storms as well as the rising sea levels that climate …

Feeder Vessel Routing And Transshipment Coordination At A Congested Hub Port, Jiangang Jin, Qiang Meng, Hai Wang

Research Collection School Of Computing and Information Systems

With increasing container-shipping traffic, congestion at transshipment hub ports happens from time to time incurring longer-than-expected waiting time for vessels and loss of transshipment connections. This situation is even worse for feeder companies, due to their relatively lower berthing priority. It is essential to design the feeder vessel routes and schedules in response to hub port congestion while ensuring efficient transshipment connection with their connecting long-haul services. In this paper, we study the vessel routing and transshipment coordination problem for a feeder liner company where only limited choices of berthing time slots are available at the hub port. We proposed …

Evaluation Of The Potential Of Automated Sem-Eds Analysis For The Discrimination Of Inorganic Soil Particles, Anna S. Duggar

Dissertations, Theses, and Capstone Projects

Soil, that complex mixture of minerals, organic particles, chemicals, and anthropogenic materials, is ubiquitous and easily transferred, which gives it forensic relevance. Forensic soil analysis has traditionally included the identification and comparison of both organic and inorganic components, the inorganic portion being most commonly examined by light microscopy and other instrumental techniques. Predominantly, the inorganic materials in soil are naturally-occurring minerals, contributed as grains from the surrounding bedrock, which gives a soil its regional character. That parent material then undergoes physical, chemical, and anthropogenic changes producing wide geographic variation within a single region. This variation forms the basis for potential …

Precision Public Health Campaign: Delivering Persuasive Messages To Relevant Segments Through Targeted Advertisements On Social Media, Jisun An, Haewoon Kwak, Hanya M. Qureshi, Ingmar Weber

Research Collection School Of Computing and Information Systems

Although established marketing techniques have been applied to design more effective health campaigns, more often than not, the same message is broadcasted to large populations, irrespective of unique characteristics. As individual digital device use has increased, so have individual digital footprints, creating potential opportunities for targeted digital health interventions. We propose a novel precision public health campaign framework to structure and standardize the process of designing and delivering tailored health messages to target particular population segments using social media–targeted advertising tools. Our framework consists of five stages: defining a campaign goal, priority audience, and evaluation metrics; splitting the target audience …

Routing Policy Choice Prediction In A Stochastic Network: Recursive Model And Solution Algorithm, Tien Mai, Xinlian Yu, Song Gao, Emma Frejinger

Research Collection School Of Computing and Information Systems

We propose a Recursive Logit (STD-RL) model for routing policy choice in a stochastic time-dependent (STD) network, where a routing policy is a mapping from states to actions on which link to take next, and a state is defined by node, time and information. A routing policy encapsulates travelers’ adaptation to revealed traffic conditions when making route choices. The STD-RL model circumvents choice set generation, a procedure with known issues related to estimation and prediction. In a given state, travelers make their link choice maximizing the sum of the utility of the outgoing link and the expected maximum utility until …

Holistic Prediction For Public Transport Crowd Flows: A Spatio Dynamic Graph Network Approach, Bingjie He, Shukai Li, Chen Zhang, Baihua Zheng, Fugee Tsung

Research Collection School Of Computing and Information Systems

This paper targets at predicting public transport in-out crowd flows of different regions together with transit flows between them in a city. The main challenge is the complex dynamic spatial correlation of crowd flows of different regions and origin-destination (OD) paths. Different from road traffic flows whose spatial correlations mainly depend on geographical distance, public transport crowd flows significantly relate to the region’s functionality and connectivity in the public transport network. Furthermore, influenced by commuters’ time-varying travel patterns, the spatial correlations change over time. Though there exist many works focusing on either predicting in-out flows or OD transit flows of …

Exploring The Personality Of Virtual Tutors In Conversational Foreign Language Practice, Johanna Dobbriner, Cathy Ennis, Robert J. Ross

Conference papers

Fluid interaction between virtual agents and humans requires the understanding of many issues of conversational pragmatics. One such issue is the interaction between communication strategy and personality. As a step towards developing models of personality driven pragmatics policies, in this paper, we present our initial experiment to explore differences in user interaction with two contrasting avatar personalities. Each user saw a single personality in a video-call setting and gave feedback on the interaction. Our expectations, that a more extroverted outgoing positive personality would be a more successful tutor, were only partially confirmed. While this personality did induce longer conversations in …