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Military and Veterans Law Society at the Syracuse College of Law
The Military and Veterans Law Society is a student organization at the Syracuse University College of Law. The mission of the MVLS is to better serve the local veteran population in Syracuse and the surrounding areas. The Military and Veterans Law Society provides veteran legal support and services, community outreach, and veteran policy research to support various veteran issues. The Military and Veterans Law Society strives to better connect the College of Law with our veteran population both on campus and in the community. VetFest: The recent \u27Cuse Vet Fest was attended by over fifty Central New York veterans who learned about VA benefits and other community resources available to them. The \u27Cuse Vet Fest was a collaboration between the U.S. Department of Veterans Affairs Syracuse VA Medical Center and Syracuse University College of Law\u27s Military and Veterans Law Society (MVLS). During this free event, attendees were able to enroll in VA Healthcare, file a claim with the Veterans Benefits Administration, obtain a Veteran Health ID Card, and learn how the PACT Act (Honoring our Promise to Address Comprehensive Toxic Acts) expands healthcare benefits for Veterans who served in the Vietnam War, Gulf War, and post-9/11 eras and were exposed to burn pits, Agent Orange, and other toxic substances. PACT Act also extends eligibility to survivors of these exposed Veterans. Turkeys for Veterans the MVLS partners with local law firm Tully Rinckey, PLLC and Price Chopper/Market 32 to distribute free turkeys to local veterans each Thanksgiving at the Law School
Expectancies for Alcohol Analgesia and Alcohol Use among Veterans with Chronic Pain: The Moderating role of Discrimination in Medical Settings
Introduction. Chronic pain and alcohol use are highly prevalent and frequently co-occur among U.S. military veterans. Expectancies for alcohol analgesia (i.e., degree to which an individual believes that consuming alcohol can help reduce or manage their pain) may contribute to alcohol consumption, dependence, and related harms. Discrimination in medical settings (i.e., degree to which one experiences inequitable treatment while receiving healthcare due to a stigmatized identity) has been linked to a variety of deleterious health outcomes and may amplify associations between expectancies for alcohol analgesia and drinking behavior. Methods. Participants included 430 U.S. military veterans with chronic pain who endorsed past month alcohol consumption (24% female; 73% White; Mage = 57) and completed an online survey via Qualtrics Panels. Results. Hierarchical linear regression analyses revealed that expectancies for alcohol analgesia were positively associated with indices of alcohol consumption, dependence, and related harms. Experiences of discrimination in medical settings were found to moderate associations between expectancies for alcohol analgesia and indices of alcohol consumption and dependence (p’s \u3c .05). Discussion. Expectancies for alcohol analgesia were associated with greater alcohol consumption, dependence, and alcohol-related harms. Discrimination in medical settings moderated two of these associations, suggesting that healthcare-related stigma may amplify associations between expectations for alcohol analgesia and drinking trajectories. Future research is needed to establish temporal precedence and to examine the utility of alcohol interventions that address analgesia expectancies and medical discrimination among veterans with chronic pain
ALLEGORIES IN FICTION: SHAPING OUR THOUGHTS AND OUTCOME OF TECHNOLOGICAL ADVANCEMENTS
This thesis investigates how fictional storytelling, particularly in science fiction films, games, and literature, influences real-world technological advancements and public perception of innovation. By examining recurring themes such as automation, technological overdependence, ethical dilemmas in AI, this study highlights how media functions as a cultural reflection to reality, and as a speculative tool. While drawing on popular examples like The Terminator (1984), Fahrenheit 451 (1953), I, Robot (2004), and The Mitchells vs. The Machines (2021), this research also considers the importance of contemporary and minority voices like artist Kapwani Kiwanga in reimagining futures beyond dominant Western narratives. These stories reflect pressing social issues such as inequality, surveillance, and environmental difference, using fiction as a space for both critique and possibility. Alongside this research is my 3D animation project titled The Creation as a creative response to these and other inspirations and references. Set in a dystopian Earth shaped by unchecked technological ambition, it tells the story of a robot responsible for the destruction of the world, serving as a metaphor for humanity’s relationship with artificial intelligence and commercialized innovation. Through nuanced animations, vibrant visuals, and emblematic storytelling, the project reflects on the core themes of the thesis while inviting open interpretation. Ultimately, I argue that fiction does more than entertain or predict—it prepares us to navigate and question the future we are actively creating and contributing to
Exploring Self-Narratives through visual Art: How Young Female Artists Form Their Identity
This paper focuses on exploring how female artists are able to develop their identity from research on self-narratives in their work. Many artist with a strong and unique voice incorporates aspects of their personality and perspective into their work (Robinson, 1985). Among them, I have observed that contemporary female artists in their twenties have navigated social changes and experienced psychological struggles while striving to understand themselves and find their role in the society. In this process, self-narratives have emerged as a vital and indispensable tool. In this paper, I will study the related theories, study the work of historical and contemporary artists, and interview female artists across various creative fields to explore the role of self-narratives in their artistic process
Is Health Insurance Related to Breastfeeding Duration?
Breastfeeding duration, which plays an important role in shaping maternal and infant health, can be influenced by insurance type. This data slice uses data from the 2022-2023 National Survey of Family Growth (NSFG) to described differences in breastfeeding duration by insurance type among females ages 15-49 in the United States. Findings show that mothers with private insurance breastfeed longer than mothers with public insurance, such as Medicaid, net of controls for maternal age, race, education, and income
NBA player types and salaries: assessing the disparities in pay
The purpose of this study was to identify player types that exist in the modern National Basketball Association (NBA), test whether player types are paid differently controlling for performance and other factors and construct successful rosters with cheaper payrolls.We collected performance statistics and salary data for players and teams across five seasons (2018-19 to 2022-23). Cluster analysis is leveraged to group together player-seasons to identify the player types that exist in the NBA. Linear regression models are run to test for differences in pay by cluster membership while controlling for performance, age, and contractual details. Linear programming simulation models construct optimized rosters under payroll and roster construction constraints.We find nine distinct player types in the NBA. Using advanced metrics, we find that elite playmakers earn significantly greater salaries compared to other player types while floor spacers, traditional bigs, defensive specialists, and three-point specialists earn significantly less compared to the reference category (perimeter operators). Pay differences may be as large as 72% greater for elite playmakers compared to the lowest paid player type. Optimized rosters show traditional bigs and three-point specialists should appear on rosters more often than they currently do.This paper extends the literature on NBA pay determinants, player types, and roster construction. It provides evidence of inefficiencies in the NBA labor market that can be exploited by NBA teams to reduce payroll expenditures and potentially increase team success
Estimation of Serially Correlated Error Components Models Using Whittle’s Approximate Maximum Likelihood Method
This chapter studies the estimation of error components models with serial correlation of the (, ) type using Whittle’s (Whittle, 1953) approximate maximum likelihood method. This is done for the one-way and two-way error components panel data model. Monte Carlo simulations are performed that investigate the small sample performance of this method