Entire DC Network | Open Access Articles | Digital Commons Network™

Blackcurrants: A Nutrient-Rich Source For The Development Of Functional Foods For Improved Athletic Performance, Ali Ali Redha, Shahida Anusha Siddiqui, Reza Zare, Daniele Spadaccini, Silvia Guazzotti, Xi Feng, Nur Alim Bahmid, Yuan Seng Wu, Fathima Zahraa Ozeer, Rotimi E. Aluko

Faculty Research, Scholarly, and Creative Activity

Blackcurrants are nutrient-rich fruits with a significant amount of bioactive compounds including vitamin C and polyphenols, especially anthocyanins. The high phytochemical content of blackcurrants promotes this fruit to become a valuable functional food ingredient with varying health-promoting activities targeting different consumers including athletes. Athletes experience oxidative stress during intense exercise, which can result in inflammation and reduced exercise performance. Antioxidants such as vitamin C and polyphenols can restore the regular oxidative status of the body. Blackcurrant supplementation has shown potential ergogenic activity to improve athlete performance during high-intensity training. Clinical trials have evaluated the effectiveness of blackcurrant supplementation on exercise …

Go to article

Characterizing The Feedback That Learning Assistants Give To Faculty, Sadhana Indukuri, Gina M. Quan

Faculty Research, Scholarly, and Creative Activity

Learning assistants are undergraduate peer educators that help facilitate learning in a university classroom environment. Jardine (2019) found that learning assistant feedback to faculty roughly fell into three categories: course logistics, student behavior, and student understanding. We built from this previous work by further characterizing the feedback given to faculty by learning assistants and found the following categories: student experience, classroom content, classroom structure, accessibility, empathy, and broad feedback. Using interview data with learning assistants and faculty working with learning assistants, we created a preliminary framework for the types of feedback and examples by learning assistants. This framework may be …

Go to article

Abortion Attempts Without Clinical Supervision Among Transgender, Nonbinary And Gender-Expansive People In The United States, Heidi Moseson, Laura Fix, Caitlin Gerdts, Sachiko Ragosta, Jen Hastings, Ari Stoeffler, Eli A. Goldberg, Mitchell R. Lunn, Annesa Flentje, Matthew R. Capriotti, Micah E. Lubensky, Juno Obedin-Maliver

Faculty Research, Scholarly, and Creative Activity

Background Transgender, nonbinary and gender-expansive (TGE) people face barriers to abortion care and may consider abortion without clinical supervision. Methods In 2019, we recruited participants for an online survey about sexual and reproductive health. Eligible participants were TGE people assigned female or intersex at birth, 18 years and older, from across the United States, and recruited through The PRIDE Study or via online and in-person postings. Results Of 1694 TGE participants, 76 people (36% of those ever pregnant) reported considering trying to end a pregnancy on their own without clinical supervision, and a subset of these (n=40; 19% of those …

Go to article

Sieve Or Shield? High Tech Firms And Entrepreneurs And The Impacts Of Covid 19 On North American Border Regions, Kathrine Eileen Richardson, Francesco Cappellano

Faculty Research, Scholarly, and Creative Activity

This study examines the role of international borders in the era of the Covid-19 pandemic, which led to unprecedented national decisions to close borders in order to contain the domestic contagion. The idea that borders act as shields conflicts with the needs of cross-border regions, as they rely on networks straddling the borders for goods and services’ provisions. This paper explores different approaches at individual, local, and regional policy levels used to counterbalance such impacts. As evidenced by North American border closures to most non-citizens seeking entry (shield effects), it is important to understand how professionals, firms, and their networks …

Go to article

Design, Construction And Operation Of The Protodune-Sp Liquid Argon Tpc, A. Abed Abud, B. Abi, R. Acciarri, M. A. Acero, M. R. Adames, G. Adamov, D. Adams, M. Adinolfi, A. Aduszkiewicz, J. Aguilar, Z. Ahmad, J. Ahmed, B. Ali-Mohammadzadeh, T. Alion, K. Allison, S. Alonso Monsalve, M. Alrashed, Athanasios Hatzikoutelis, For Full Author List, See Comments Below

Faculty Research, Scholarly, and Creative Activity

The ProtoDUNE-SP detector is a single-phase liquid argon time projection chamber (LArTPC) that was constructed and operated in the CERN North Area at the end of the H4 beamline. This detector is a prototype for the first far detector module of the Deep Underground Neutrino Experiment (DUNE), which will be constructed at the Sandford Underground Research Facility (SURF) in Lead, South Dakota, U.S.A. The ProtoDUNE-SP detector incorporates full-size components as designed for DUNE and has an active volume of 7 × 6 × 7.2 m3. The H4 beam delivers incident particles with well-measured momenta and high-purity particle identification. ProtoDUNE-SP's successful …

Go to article

Peter Engel, Saint John’S Fourth Abbot [2022], Peggy L. Roske

Archives History Lessons

No abstract provided.

Go to article

Antisocial Personality Disorder: A Theoretical Approach Utilizing Three Dimensions Of Power Analysis, Timothy J. Nguyen, Tara Zolnikov

Faculty Research, Scholarly, and Creative Activity

Antisocial Personality Disorder (ASPD) is often associated with high costs and burden to the rest of society; however, it remains a disorder with no evidence of effective traditional psychological interventions. This theoretical study aimed to analyze the phenomenon of power and how it may influence the conceptualization of ASPD. Data was collected through a comprehensive and systematic review of the current ASPD literature. Findings suggested ASPD as severely conceptually flawed, highly imbalanced in terms of power dynamics between professionals and people diagnosed with ASPD, absent of participants’ voices, absent of any effective traditional psychotherapy interventions, disproportionately focused on deficit-oriented strategies …

Go to article

Impact Of Co2 Storage On The Geomechanical And Geophysical Properties Of Bakken Formation, Ogochukwu Ozotta

Theses and Dissertations

The world is currently experiencing a higher demand for low-carbon technologies, and carbon capture utilization and storage (CCUS) is an important CO₂ emissions reduction technology. Studies have shown the potential for CCUS in shale formations either as a caprock or as a reservoir storage unit. However, there is limited knowledge of the changes in shale reservoirs after long-term exposure to CO₂, and the resulting impacts on storage permanence. This study coupled experimental and numerical modeling methods to investigate how long-term CO₂ storage in shale formations might alter pore structure and minerals, which might cause a resultant …

Go to article

Exo-Sir: An Epidemiological Model To Analyze The Impact Of Exogenous Spread Of Infection, Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal, Sakthi Balan Muthiah, Amit Sheth

Publications

Epidemics like Covid-19 and Ebola have impacted people's lives significantly. The impact of mobility of people across the countries or states in the spread of epidemics has been significant. The spread of disease due to factors local to the population under consideration is termed the endogenous spread. The spread due to external factors like migration, mobility, etc. is called the exogenous spread. In this paper, we introduce the Exo-SIR model, an extension of the popular SIR model and a few variants of the model. The novelty in our model is that it captures both the exogenous and endogenous spread of …

Go to article

Process Knowledge-Infused Learning For Suicidality Assessment On Social Media, Kaushik Roy, Manas Gaur, Qi Zhang, Amit Sheth

Publications

Improving the performance and natural language explanations of deep learning algorithms is a priority for adoption by humans in the real world. In several domains, such as healthcare, such technology has significant potential to reduce the burden on humans by providing quality assistance at scale. However, current methods rely on the traditional pipeline of predicting labels from data, thus completely ignoring the process and guidelines used to obtain the labels. Furthermore, post hoc explanations on the data to label prediction using explainable AI (XAI) models, while satisfactory to computer scientists, leave much to be desired to the end users due …

Go to article

Digital Commons Network^™

Full-Text Articles in Entire DC Network

Blackcurrants: A Nutrient-Rich Source For The Development Of Functional Foods For Improved Athletic Performance, Ali Ali Redha, Shahida Anusha Siddiqui, Reza Zare, Daniele Spadaccini, Silvia Guazzotti, Xi Feng, Nur Alim Bahmid, Yuan Seng Wu, Fathima Zahraa Ozeer, Rotimi E. Aluko

Faculty Research, Scholarly, and Creative Activity

Characterizing The Feedback That Learning Assistants Give To Faculty, Sadhana Indukuri, Gina M. Quan

Faculty Research, Scholarly, and Creative Activity

Faculty Research, Scholarly, and Creative Activity

Sieve Or Shield? High Tech Firms And Entrepreneurs And The Impacts Of Covid 19 On North American Border Regions, Kathrine Eileen Richardson, Francesco Cappellano

Faculty Research, Scholarly, and Creative Activity

Faculty Research, Scholarly, and Creative Activity

Peter Engel, Saint John’S Fourth Abbot [2022], Peggy L. Roske

Archives History Lessons

Antisocial Personality Disorder: A Theoretical Approach Utilizing Three Dimensions Of Power Analysis, Timothy J. Nguyen, Tara Zolnikov

Faculty Research, Scholarly, and Creative Activity

Impact Of Co2 Storage On The Geomechanical And Geophysical Properties Of Bakken Formation, Ogochukwu Ozotta

Theses and Dissertations

Exo-Sir: An Epidemiological Model To Analyze The Impact Of Exogenous Spread Of Infection, Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal, Sakthi Balan Muthiah, Amit Sheth

Publications

Process Knowledge-Infused Learning For Suicidality Assessment On Social Media, Kaushik Roy, Manas Gaur, Qi Zhang, Amit Sheth

Publications