Scholars @Bentley (Bentley University)
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CLIC Newsletter - Spring 2023
Full text linkPage 0: New Logo
Page 1: An Interview with International Professor Dr. Anqi Xu
Page 3: Balancing Social Media Addiction
Page 4: Event Throwback: Spring Day Gala
Page 5: An Interview with the First Student Graduating in Chinese Language, Culture, and Business (LCB) Major
Page 8: Event Throwback: Study Abroad in Italy
Page 9: Interview with Students who Studied Abroad
Page 11: Restaurant Recommendations
Page 15: French Programming: Celebrating Francophone at Bentley!
Page 16: Event Throwback: Mardi Gras
Page 17: Music and Social Media
Page 18: French Student Poster
Page 19: Women’s History Month
Page 23: A Conversation with Former Language Partner (LP) Antonio Gonzales D’Orazio
Page 26: Bentley Women’s Basketball and Success
Page 27: Interview with Houria Nasrine Mansour – New French LP for Spring
Page 29: Recipes to Try
Page 33: Event Throwback: Spring Gathering
Page 34: Student Poem by Joel Yamoah
Page 35: Bentley New Curriculum Review
Page 36: A Typical Day of Bentley Students
Page 38: Chinese Students Speech Script
Page 41: Fall Courses
Page 43: Our Staf
The Problematics of Gender for Aviation Emergency Communication During an Inflight Emergency: A Case Study
Full text linkDue to the rarity of female pilots, aviation communication is typically conducted in a single-gender environment. The role of gender in interactions during inflight emergencies has not yet been adequately explored. This single case analysis uses a qualitative approach based on conversation analytic transcripts to investigate how gender may be relevant either explicitly or implicitly in radio trans-missions between flight crew and Air Traffic Control (ATC) personnel, as well as internal ATC phone interactions as participants work to handle an inflight emergency. This incident involved a female pilot and a male copilot, thus providing a naturally occurring rare event to explore the potential relevance of gender. The analysis shows that explicit references to gender are limited to occasional asymmetrical use of gendered address terms and gendered pronouns. Participants also used interactional formulations that—while not explicitly gendered—have been associated in previous research with gender differences in interaction, for example, the use of indirect forms of requests or complaints, actions that imply inferences about the emotional state of participants, or possible confusion over the identity of the pilot given the transitions between male and female sounding voices speaking on behalf of the plane. The findings are discussed in terms of implications for how gender differences can impact aviation communication during emergency incidents
Columnas: The Honors Program Newsletter at Bentley University
Full text linkPage 1: HOW AI IS IMPACTING THE BENTLEY CLASSROOM AND EDUCATION OVERALL ~ by Nayeli Franco ’24
Page 2: A BEAUTY OF DIVERSITY ~ by Yun Song ’26
Page 3: RESURRECTING THE DEAD THROUGH COMPUTER TECHNOLOGY: HONORING THEIR MEMORY OR EXPLOITING THEIR LEGACY? ~ by Hailey Jennato ’24
Page 4: THE IMPORTANCE OF DEVELOPING EMOTIONAL INTELLIGENCE ~ by Isa Ramirez Perdomo ’26
Page 5: FROM STRUGGLE TO STRENGTH: THRIVING AS AN INTERNATIONAL STUDENT ~ by Ledion Hoti ’25
Page 6: CHASING BUTTERFLIES ~ by Alyssa Galin ’2
Reflections of the Bentley Ombuds
Full text linkThe Ombuds Office hears your grievances and can help you resolve a conflict. Conflicts can be within yourself or between you and others, making you feel anxious, not appreciated or worse.
During the past several years at Bentley, I have been given the opportunity to mediate, conduct workshops and provide you with advice to empower you to constructively resolve conflicts on your own. It has been especially rewarding to receive feedback on the progress many of you achieved after a challenging situation. Learning that someone has taken the time to resolve a conflict, apologize for being unfair, or change behavior to become more collaborative and trusting is invaluably fulfilling. I cannot tell you how much I welcome such feedback.
Which brings me to the purpose of this booklet. I encourage each of us to reach out to our colleagues to express our gratitude, seek greater understanding, resolve conflicts, big and small, and connect on a deeper level. I hope you will consider sharing your stories and anecdotes with me and with other colleagues so we can continue to build a community of respect and understanding
Go Green with Ecosia: The Search Engine with a Sustainable Business Model
Full text linkEcosia, a non-profit search engine, is not only a thriving business but is also directly responsible for planting over 185 million trees. Focusing on sustainability and social responsibility, Ecosia demonstrates how business models can positively impact the environment
The Deceptive Practice of Openwashing with Open Access Data
Full text linkYou’ve probably heard the term greenwashing before. A company might say that their new “green” items are recyclable when the truth is more complicated. It’s tricky wordplay—being dishonest with the public but phrasing it so that it is technically true. Those who advocate for green policies are frustrated by these deceptive greenwashing practices. The same applies for advocates who want companies and governments to be more transparent about the data they collect. Openwashing is similar to greenwashing, in which groups like organizations and governments claim they are disclosing information, but in reality, it’s not entirely the case. What does it mean for an organization or government to provide open access and just how truly open are they
Using Data and Evidence to Improve Quality of Life for Patients with Alzheimer’s Disease
Full text linkAs an irreversible, progressive brain disorder, Alzheimer’s disease (AD) imposes a severe burden upon patients and their caregivers, as well as the healthcare system. Of the ten leading causes of death in the United States, Alzheimer’s disease is the only one without a pharmacological intervention that has been proven to cure or delay the onset of the disease. Aging is the primary risk factor contributing to Alzheimer’s disease in the elderly. With an aging population that continues to grow, the challenges for the healthcare system surrounding AD become more and more serious. My dissertation aims to contribute to a better understanding of this rising problem from big data analytics point of view. A large-scale national clinical and administrative data warehouse in the Veteran Affairs healthcare system will be used for the following investigation.
Chapter 2 investigated whether the combined therapy of four classes of low-cost FDA-approved medications targeting modifiable risk factors for AD can extend patients’ lifespans with machine learning techniques. As multiple comorbidities are often present simultaneously in elderly patients, and their treatment typically involves the use of multiple medications, it is essential to investigate the comparative effects of commonly prescribed medications and their combinations on the development of Alzheimer’s disease. Chapter 2 specifically focuses on the concurrent utilization of medications that belong to up to three distinct categories that have not been previously explored. This knowledge can inform the development of treatment plans that optimize the balance between managing multiple chronic conditions, minimizing the risk of developing Alzheimer’s disease, and offering a potentially significant opportunity to reduce the economic burden of the disease.
Chapter 3 studied the AD disease progression and the effect of therapeutic interventions for the modifiable risk factors at each stage of AD. The disease progression of AD is a dynamic process and precise prediction of the time course is difficult. Starting from the early phase of mild cognitive impairment (MCI) to AD, then to death, the transition rates and probabilities between different disease phases were presented using the Markov multi-state modeling. Acquiring this knowledge is a critical step toward preventing and diagnosing AD at an early stage and may present opportunities for improved clinical management. Risk factors that facilitate the progression from MCI to AD were identified using Cox regression with propensity score weights. The understanding of the disease progression of AD will contribute to the estimate of the costs related to AD, and understand the cost-effectiveness of AD-related treatments and services.
Chapter 4 aims to assess the robustness of multi-state survival models when confronted with a noisy dependent variable, particularly in the context of complex diagnostic tasks. In healthcare systems, diagnostic challenges are commonplace, often leading to missed, delayed, or erroneous diagnoses. Diseases such as Alzheimer’s disease pose additional complexities, resulting in elevated diagnostic errors due to the disease’s intricacies and the limited use of advanced measurements in primary care practices. Regrettably, the existing literature on algorithm performance in highly noisy data environments remains limited. In this study, I compared the classic Markov multi-state model and a deep-learning model, multi-state ODEs, utilizing simulated data with a highly noisy dependent variable. The primary goal is to discern the sensitivity of prediction outcomes from multi-state survival models for disease progression analysis. Through this investigation, our findings contribute to a better understanding of the performance of these models under challenging conditions, shedding light on their reliability and applicability in noisy data scenarios
Tech Note 2023-1 NIH Contribution to Phased Clinical Development of Drugs Approved from 2010-2019
Full text linkThis report describes the methods and preliminary results for the manuscript titled, “Spending on Phased Clinical Development of Approved Drugs by the US National Institutes of Health Compared With Industry.
Disaster Relief and Humanitarian Logistics: Three Essays
Full text linkThe increased frequency and impact of natural disasters and other humanitarian crises—including events such as the COVID-19 pandemic—makes studying disaster relief and recovery particularly important. One relevant area of research in this space is humanitarian logistics. This dissertation provides insights into disaster relief logistics by exploring the government’s role in humanitarian logistics, examining the government’s efforts to address COVID-19 medical supply chain challenges, and determining how to lessen the impact of supply chain bottlenecks from unwanted post-disaster donations. Chapter one (sole-authored) is a literature review of the role of governments in humanitarian logistics. Although governments are vital stakeholders in nearly every humanitarian disaster, there is an incomplete understanding of the role of government in such events. The findings suggest that governments assume three key roles: host, funder, and coordinator. A theoretical framework is presented that illustrates these roles in the context of a humanitarian disaster.
Chapter two (co-authored) is an empirical study of the U.S. federal government’s efforts to address medical supply chain challenges resulting from COVID-19. Using a qualitative case study and the lens of attribution theory, we explain how a key U.S. public health agency responded to COVID-19 medical supply challenges and how its revised strategies are attributed to specific factors experienced during the COVID-19 pandemic. We identify four such critical factors: mission complexity and uncertainty, partner incentives, domestic manufacturing capabilities, and funding uncertainty. These factors inform and affect three main strategic priorities for the agency’s medical supply chain— supply chain coordination, supply chain collaboration, and stockpiling. Chapter three (co-authored) is an empirical study of post-disaster donations to lessen the supply chain impacts from unwanted donations. Following a disaster that results in a humanitarian crisis, media coverage of the event is frequently followed by surplus donations of goods to charitable organizations, many of which are unwanted and unsolicited. In this study, we conduct an experiment soliciting donations for the humanitarian disaster caused by the Russian invasion of Ukraine to evaluate whether media reports on the benefits of donating cash can lessen unwanted giving. We find that such reports can significantly increase the proportion of cash donations
Response to Department of Commerce, National Institute of Standards and Technology, Agency Information Collection Activities
Full text linkThis response supports the recommendations of the interagency working group for Bayh-Dole that the dataset collected and archived in iEdison “…be amended and expanded so that the agencies could get a clear picture of the commercialization plans for subject inventions, what the licensing landscape looked like, (and) what products were resulting, …”
Our comments are informed by several recent studies describing the effectiveness and reach of the Bayh-Dole Act in promoting and protecting the public interest in practical applications of government-funded biomedical research to pharmaceutical innovations