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Examining Mental Health of First-Generation College Students
First generation college students, being the first in their family to go to college, face many challenges and barriers during their time in college. These students face such challenges that can highly impact their mental health. Many first-generation students are not aware of the mental health and academic resources that are available on campus. Research interprets how workshops presented to this population of students can provide resources and support to better assist first- generation students. This project was created to provide a review on how effective workshops are and provide helpful resources to first-generation college students. By providing this workshop, it will allow students to know where to access academic and mental health related resources. With access to these helpful tools, this will decrease the mental health effects on first-generation college students
The Impact of Faculty Training on Academic Accommodations for Students With Disabilities
This graduate project, titled "S.W.D Empowerment" (Students with Disabilities Empowerment), focuses on the implementation of a faculty training program aimed at improving academic accommodations and fostering a more inclusive educational environment for students with disabilities. This program aims to equip faculty with knowledge and skills for understanding, implementing, and supporting accommodations that enhance students with disabilities academic success in higher education. Grounded in Tinto's validation theory and informed by a comprehensive review of current literature on academic accommodations, barriers to access, and effective faculty training models, this project identifies the significant components of impactful professional development. The training program emphasizes the legal, ethical, and practical aspects of providing accommodations with a focus on fostering inclusive teaching practices that support the academic success of students with disabilities. S.W.D Empowerment will be overseen by qualified professionals, including a program coordinator, moderators, graduate assistants, sign language interpreters, student assistants, and a student assistant from the IT Department. Ultimately, S.W.D empowerment aims to provide a framework for institutions to implement faculty training on accommodations and the needs of students with disabilities to strengthen accessibility and inclusivity in higher education
Road To My Future: A College & Career Preparation Counseling Group for Middle School Students
Road to My Future (RTMF) is an eight-week small counseling group designed for middle school students (Grade 6-8) to be facilitated by professional school counselors. RTMF is an early college and career preparation group designed to prepare middle school students for their high school, college, and career goals. Drawing on Albert Bandura's theory of self-efficacy, which emphasizes the role of confidence in one's ability to achieve personal goals. The group offers a structured environment where students can engage in guided discussions, activities, presentations and more. The intervention aims to help students develop a clear vision for their future by exposing them to a variety of careers, through activities and a career interest profiler. The culmination of the intervention is a guided tour of a local college. RTMF hopes to inspire middle school students by providing them with early exposure to high school graduation requirements and the college application process. Additionally, by improving participants' self-efficacy students gain a greater sense of control over their academic journey and are empowered to pursue higher education and career opportunities
Second Generation Oral History Project Jeanice Trat . Exploring Cultural Identity through the Vietnamese American Experience
This oral history interview provides a detailed account of Jeanice Trat's experiences as a second-generation Vietnamese American. Jeanice discusses her upbringing in San Jose, her family's background and cultural traditions, her relationship with her parents, and the challenges she has faced navigating her dual Vietnamese and American identities. She shares experiences of discrimination, the importance of the Vietnamese language in her life, and the generational differences she has observed between first-generation and second-generation Vietnamese Americans. Overall, the interview offers a nuanced perspective on the Vietnamese American experience
How Does Dharma Play a Role in Medical Ethics
This article aims to study how Dharma can be integrated into modern medical ethics to enhance healthcare ethical standards. In comparison with the Indian philosophy of Dharma, which emphasizes duty, compassion, non-violence, and justice, among other things, the traditional Western principles of autonomy, beneficence, non-maleficence, and justice (as established by The Belmont Report and The Declaration of Helsinki) will be considered. This integration provides a comprehensive approach towards ethical behavior in healthcare that promotes empathy and a commitment to collective wellness. It also addresses some healthcare-related ethical dilemmas while promoting a balanced view of health, including physical, mental, emotional, and spiritual dimensions. This paper calls for cultural enrichment within medical practice based on ethics by adding contemporary principles with those from Dharma
Second Generation Oral History Project Thuy Thanh Pham. Exploring Cultural Identity through the Vietnamese American Experience
The interview explores the experiences and perspectives of a 19-year-old second-generation Vietnamese American named Thuy Thanh Pham. It covers her upbringing in San Jose, her family's history and cultural traditions, her relationship with her parents, her sense of Vietnamese and American identity, and the challenges she has faced in navigating her dual cultural heritage. The summary highlights Thuy's reflections on language fluency, cultural expectations, discrimination, and the generational differences between first-generation Vietnamese immigrants and their American-born children
Hardware acceleration of Harris corner detection
This report presents a System Verilog-based implementation of Harris Corner Detection algorithm, tailored for high-performance computer vision tasks. Harris corner detection algorithm is a crucial method for identifying interest points in digital images, vital for applications such as image stitching and object recognition. The implementation is designed for FPGA-based architectures, leveraging System Verilog hardware description language to optimize the algorithm for efficient resource utilization and high throughput. Keeping real-time processing aside, the FPGA-based implementation has great benefits of parallelism and computational efficiency than software-based implementations. This report shows how I made improvements to the algorithm for its use in FPGA based systems using System Verilog. I concentrated on optimizing FPGA resources utilization and minimizing delays. Our experiments supported that corner are accurately detected with our FPGA based implementation. In conclusion, this report describes how we applied the design and optimization procedures to the Harris corner detection algorithm, tailored for use in FPGA based systems. It is applicable for tasks requiring high performance computer vision to be performed in environments with limited resources and employing FPGA boar
A Strategy for Growth at The Center for Social and Technology Entrepreneurship (C-STE)
[ABSTRACT ONLY; NO FULL TEXT] As part of a consulting team, I conducted a comprehensive analysis of the Center for Social and Technology Entrepreneurship (C-STE) at California State University, Northridge. The study aimed to evaluate C-STE's position, capabilities, and challenges within the context of higher education and entrepreneurship programs in California. To gather data, I utilized several research databases including Statista, the U.S. Census Bureau, and industry reports from sources like McKinsey & Company and Pew Research Center. These provided valuable statistics on entrepreneurship trends, higher education enrollment, and economic indicators relevant to C-STE's operations. The analysis employed several frameworks, including SWOT analysis, PESTLE analysis, and a 3Cs framework. These approaches helped me to identify C-STE's strengths, weaknesses, opportunities, and threats, as well as the macro-environmental factors influencing its operations from competition among other California State Universities and more prestigious institutions like University California Los Angeles and University of Southern California. The study also examined C-STE's core competencies, customer needs, and competitive landscape. The customer analysis identified diverse needs among CSUN students, faculty, and the local community for practical entrepreneurship education, mentorship, and networking opportunities. Economic considerations highlighted challenges in accessing funding during economic downturns and the high cost of living in Los Angeles along with high CPI rates and wage stagnation. Social factors emphasized the diverse demographic of Los Angeles and growing interest in social entrepreneurship among younger generations. Technological aspects focused on the rapid evolution of fields like Artificial Intelligence, Blockchain, and the Internet of Things, presenting both opportunities and challenges for curriculum development. Legal factors considered the impact of data protection laws and industry-specific regulations on entrepreneurial ventures and the legal resources afforded to C-STE to help nurture student businesses. Environmental concerns underscored the growing emphasis on sustainability in business practices and the importance of the Community Reinvestment Act to support entrepreneurial initiatives. I took lead in forming the market research survey and interview formation and in generating recommendations. Key research instruments included structured interviews, online surveys, and focus groups. Custom spreadsheets were created to analyze enrollment trends and financial data, with visualization tools used to present complex information accessibly. Significant insights included the growing demand for programs combining technological innovation with social impact among younger demographics, challenges in student awareness and engagement with programs, and the need for curriculum adaptation to emerging technological fields like Blockchain. The project also uncovered resource and funding constraints affecting program expansion and curriculum updates. This consulting project applied a range of analytical skills to a real-world organizational challenge, emphasizing the importance of combining quantitative data analysis with qualitative insights. The findings and recommendations aim to guide C-STE in addressing enrollment challenges, enhancing student awareness and participation in its programs, and strengthening its position in the entrepreneurship education landscape
Geospatial Data Visualization Framework for Wildfire Predictions
Wildfires and the destruction they bring are an ever growing concern in that state of California. The destructive force of wildfires cause everlasting damage to communities as people lose homes, jobs, friends and family members, etc. Many researchers are work- ing to refine techniques to handle issues relating to wildfires, including utilizing machine learning to predict wildfire occurrences. Part of that process is gathering and utilizing data as inputs for the machine learning models. The purpose of this thesis is to communicate the performance of the machine learning models and the dataset utilized by them with the general public as well as machine learning researchers. This is important as effectively communicating this information with the general public can inform them of potential safety concerns and allow them to plan accordingly and effectively communicating this informa- tion with other researchers will allow them to evaluate the data and current model approach to efficiently find possible improvements. This thesis explores techniques for represent- ing geospatial data relating to wildfires and explainable artificial intelligence techniques. The result is the implementation of a webapp containing interactive visualizations utilizing the deck.gl framework to employ geovisualization techniques and the plotly.js library to visualize numerical insights and explainable artificial intelligence techniques
The Effects of Cultural and Language Barriers Between Doctors and Their Patients in the Latino Community at California State University, Fullerton
This research looks at the impacts of culture and language barriers between doctors and their patients in the Latino community at CSUF. The goal of this research is to examine the feelings of Latino patients in a healthcare system that often overlooks minority individuals and their symptoms. Students filled out a completely anonymous survey asking about their experiences in doctors office and how it affected them and their families. The responses were then analyzed and compared to past sources. Through the survey we see that there are patients who are negatively impacted by cultural and language barriers though this is not applicable to all individuals in the Latino community. In the future, with the new administration and detrimental removal of policy that protected many latino patients who were immigrants we may unfortunately see the results of this study change drastically. Through this research we hope to show systemic racism within the medical system and how it negatively affects those in the Latino community