32,919 research outputs found
Challenging the Model Minority Myth as a First-Generation College Student
First-generation Asian American college students must be resilient to
overcome the many challenges they face in their college experience. Because
these students are first-generation students of color and are also
Asian American, they experience unique challenges and complexities.
First-generation students of color often navigate the college experience
with families who have little to no context surrounding higher education,
may have varying levels of college readiness upon entry, and frequently
encounter financial challenges and other barriers to education. At the
same time, Asian American students must grapple with high expectations
set by society because of the model minority myth. How are these
students expected to meet the high standards set by others while facing
so many barriers to their success in higher education? In this article, I
explore the challenges that students who hold these intersecting identities
face, and I provide recommendations for institutions to better support
these students
A Personalized Framework for Trust Assessment
The number of computational trust models has been increasing quickly in recent years yet their applications for automating trust evaluation are still limited. The main obstacle is the difficulties in selecting a suitable trust model and adapting it for particular trust modeling requirements, which varies greatly due to the subjectivity of human trust. The Personalized Trust Framework (PTF) presented in this paper aims to address this problem by providing a mechanism for human users to capture their trust evaluation process in order for it to be replicated by computers. In more details, a user can specify how he selects a trust model based on information about the subject whose trustworthiness he needs to evaluate and how that trust model is configured. This trust evaluation process is then automated by the PTF making use of the trust models flexibly plugged into the PTF by the user. By so doing, the PTF enable users reuse and personalize existing trust models to suit their requirements without having to reprogram those models
Extremal Problems for Subset Divisors
Let be a set of positive integers. We say that a subset of is
a divisor of , if the sum of the elements in divides the sum of the
elements in . We are interested in the following extremal problem. For each
, what is the maximum number of divisors a set of positive integers can
have? We determine this function exactly for all values of . Moreover, for
each we characterize all sets that achieve the maximum. We also prove
results for the -subset analogue of our problem. For this variant, we
determine the function exactly in the special case that . We also
characterize all sets that achieve this bound when .Comment: 10 pages, 0 figures. This is essentially the journal version of the
paper, which appeared in the Electronic Journal of Combinatoric
Organ Donation: Gauging Perception, Interest, and Clarifying Misconceptions
Around 120,000 people currently need a lifesaving organ transplant in the United States. On average, 22 people die each day while waiting for a life-saving organ transplant. In 2011, over $34 billion dollars were spent on dialysis patients with end-stage renal disease. Only 52% of the national population is registered for organ donation. In Vermont, that number is 44%. This project aimed to clarify some common misconceptions regarding organ donation in the form of a brochure. Participants\u27 subsequent interest and concerns regarding registering as an organ donor were also gauged. A total of 50 people filled out the form. There was a significant positive change in interest regarding registering as an organ donor after reading the informational brochure (p \u3c 0.0001). There was no difference between genders or age groups. People reported that they were neutral to likely (mean = 3.31) regarding registering during an advance directive talk. The most common reasons cited for not registering as organ donors were concerns over organ quality due to age, medical condition, or substance use (6/16), religious or philosophical beliefs (4/16), and needing more time (4/16). Until such a time that we move from an opt-in to opt-out system of organ registration, the only way to maximize the probabilities of having successful organ transplants is to maximize recruitment. This project is proof of concept that an informational brochure can significantly encourage people to register as organ donors. It also provides modest evidence that yearly reminders during advance directive talks on top of the DMV would increase registration.https://scholarworks.uvm.edu/fmclerk/1266/thumbnail.jp
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