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The Epidemiology And Burden Of Cardiovascular Diseases In Countries Of The Association Of Southeast Asian Nations (Asean), 1990–2021: Findings From The Global Burden Of Disease Study 2021, Gbd 2021 Asean Cardiovascular Diseases Collaborators, Veincent Christian Pepito

Ateneo School of Medicine and Public Health Publications

Background: The Association of Southeast Asian Nations (ASEAN) has undergone substantial epidemiological changes over the past three decades, characterised by a growing burden of cardiovascular disease. This study provides an epidemiological overview of cardiovascular diseases across ASEAN.

Methods: As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2021, we assessed the prevalence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) of 12 cardiovascular diseases, stratified by age, sex, and location, for ten ASEAN member states (Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, the Philippines, Singapore, Thailand, and Viet Nam) from 1990 to …

The Epidemiology And Burden Of Injury In Countries Of The Association Of Southeast Asian Nations (Asean), 1990–2021: Findings From The Global Burden Of Disease Study 2021, Stephanie C C Van Der Lube, Lin Siew Chong, Simon I. Hay, Catherine Bisignano, Spencer I. James, Xiaochen Dai, Lay Hoon Goh, Swetha Acharya, Qorinah Estiningtyas Sakilah Adnani, Naveed Ahmed, Budi Aji, Joseph Uy Almazan, Carl Abelardo T. Antonio, Sumadi Lukman Anwar, Muhammad Shahzad Aslam, Atif Amin Baig, Amiel Nazer C. Bermudez, Ahmad Naoras Naoras Bitar, Muthia Cenderadewi, Hana Chen, Nicholas Ws Chew, Bryan Chong, Mayank Dalakoti, Hisham Atan Edinur, Crystal Amiel M. Estrada, Emerito Jose Aquino Faraon, Nelsensius Klau Fauk, Ni Kadek Yuni Fridayani, Fernando Barroga Garcia, Arief Hargono, Eka Mishbahatul Marah Has, Paul Michael Rafa Hernandez, Nahlah Elkudssiah Ismail, Vikash Jaiswal, Roland Dominic G. Jamora, Jost B. Jonas, Kehinde Kazeem Kanmodi, Inn Kynn Khaing, Yun Jin Kim, Chong-Han Kua, Maria Dyah Kurniasari, Dian Kusuma, Hilton Lam, Shaun Wen Huey Lee, Zheng Feei Ma, Roy Rillera Marzo, Kamarul Imran Musa, Firzan Nainu, Dina Nur Anggraini Ningrum, Sok King Ong, Veincent Christian Pepito, Thantrira Porntaveetus, Dimas Ria Angga Pribadi, Sheena Ramazanu, Bedanta Roy, Yoseph Leonardo Samodra, Siddharthan Selvaraj, Shazlin Shaharudin, Robert Sinto, Solikhah Solikhah, Chandrashekhar T. Sreeramareddy, Vetriselvan Subramaniyan, Thitiporn Sukaew, Ingan Ukur Tarigan, Jansje Henny Vera Ticoalu, Narayanaswamy Venketasubramanian, Taweewat Wiangkham, Anggi Lukman Wicaksana, Siyan Yi, Mustafa Z. Younis, Christopher J L Murray, Kanyin Liane Ong, Yee Wei Lim, Marie Ng

Ateneo School of Medicine and Public Health Publications

Background Injuries are among the top causes of mortality and disability in southeast Asia. Although injury prevention is a key health priority in the Post-2015 Health Development Agenda of the Association of Southeast Asian Nations (ASEAN), the focus was placed solely on road injuries. The absence of a broader recognition of injury burden and trends hinders future intervention efforts. This study aims to provide a comprehensive analysis of the burden and epidemiological trends of all injuries across ASEAN countries.

Methods In this analysis of the Global Burden of Disease, Injuries, and Risk Factors Study (GBD) 2021, we estimated incidence, cause-specific …

"Maine Office Of Behavioral Health’S Section 17 Self-Direction Pilot Program: Evaluation Report", Rachel M. Gallo Mph, Sarah Goan, Emma Schwartz, Aaron Rose

Publications

Maine’s Office of Behavioral Health conducted a nine-month pilot of Self-Directed Care to support adults with serious mental illness in Cumberland, Hancock, and Washington Counties. The program allowed eligible participants receiving MaineCare Section 17 services to manage a personal budget, guided by trained Support Brokers from Alpha One, to purchase goods and services that would advance their recovery goals. The pilot aimed to increase participant choice, autonomy, and flexibility in managing their mental health needs. Support Brokers worked closely with participants and Case Managers to develop and approve individualized purchase plans, monitor expenditures, and ensure alignment with treatment objectives. A …

Reverse Engineering Bring Up And Profiling Of Multi-Fpga Systems, Henry A. Evans

Master's Theses

FPGAs have long been used for prototyping and verifying high-speed digital designs in industry and in academic research. As ASIC designs have grown in complexity and size, prototyping those designs on FPGAs has required multiple FPGAs that sometimes span multiple servers. Western Digital donated multiple FPGA-based systems to Cal Poly in 2023. These servers contain multiple high-end AMD FPGAs that are ideal for prototyping large high-speed digital designs, however the full documentation on how to use the servers and how the servers work was not provided. The servers did not come with any information on how to program the FPGAs, …

Griddle: A Novel Hardware Based Matrix Multiplier Architecture, Seth Kiefer

Master's Theses

Matrix multiplication is a computational cornerstone in modern artificial intelligence and scientific computing, yet general-purpose processors struggle to perform these operations efficiently at scale. This thesis presents Griddle, a novel hardware architecture for matrix multiplication implemented on a Xilinx Artix-7 FPGA. Griddle focuses on flexibility and scalability by adopting a purely iterative approach that supports arbitrarily shaped input matrices without requiring padding or strict dimensional constraints. The architecture uses computational pipelines to execute a multiplication operation. Each pipe consists of a multiplication core and accumulation buffer that compute matrix products in parallel. The multiplication core contains a set of multiplier …

Streamlined Intelligence: Resource-Efficient Machine Learning For 5g Nr V2v Channel Equalization, Jacqueline G. Radding

Master's Theses

As autonomous vehicles continue to evolve, reliable and efficient real-time communication between vehicles is essential for safety and performance. This thesis explores Streamlined Intelligence: Resource Efficient machine learning for 5G NR V2V Channel Equalization, focusing on lightweight random forest decision tree models to address the challenges of channel equalization in 5G New Radio (NR) vehicle to vehicle (V2V) systems. Using orthogonal frequency division multiplexing (OFDM) with QPSK modulation, the study simulates data transmission in nonlinear channels characterized by obstructions, Doppler shifts, and fading. Decision trees are proposed as a computationally efficient alternative to other machine learning methods while being compared …

"Great Big Beautiful Tomorrow": Disneyland, Science, And The Cultural Cold War, Emily Searson

Master's Theses

Disneyland, the popular Anaheim-based theme park in California, opened its doors during heightened Cold War tensions in 1955. In this thesis, I trace the origins of Tomorrowland, one of the five original themed lands in Disneyland that included futuristic rides and attractions to depict Walt Disney’s imagining of the year 1986. I examine Tomorrowland in particular to argue that WED Enterprises (Disneyland, Inc.’s research and development arm) and Disney’s vision of scientific progress aligned with U.S. Cold War policy goals, especially containment. Disney and WED Enterprises meticulously planned Tomorrowland with the help of notable American defense contractors, including the Monsanto …

Low Earth Orbit Drag Sail Degradation Due To Atomic Oxygen And Ultraviolet Radiation, Hannah Rost

Master's Theses

As the orbital debris population increases, so does the risk of collisions with operational spacecraft. In response, the Federal Communications Commission has shortened the deorbit requirement from 25 years to five years. While natural atmospheric decay was sufficient under the previous guideline, many objects with low area to mass ratios can no longer passively comply. Smaller, non-propellant-carrying space objects such as CubeSats lack the ability to maneuver and must rely on alternative deorbit methods. One proposed solution is to deploy a drag sail at end of life to increase atmospheric drag and accelerate orbital decay. However, exposure to atomic oxygen …

New Sheriff In Town: A Quad Model Approach To Examining The Consequences Of Selecting A Qualified Lead Independent Directors, Dinesh Hasija, Alan Ellstrand, Jason W. Ridge, Jon Johnson

Strategy, Entrepreneurship and Venture Innovation Faculty Publications and Presentations

Research SummaryThe lead independent director (LID) position was adopted primarily to increase the efficiency of the monitoring function of the board. However, evidence of whether and how LIDs influence board monitoring has been limited. We apply and test the theoretical quad model in the context of the LID to examine whether selecting a qualified LID helps improve monitoring within the board. We argue that when a board appoints a qualified LID, it improves overall board monitoring, along with board meeting facilitation and interpersonal interactions between the board and shareholders. Using a sample of US firms, we find that firms that …

Efficient And Robust Language Adaptation In Multilingual Llms, Bibek Upadhayay

Doctoral Works at the University of New Haven

Large Language Models (LLMs) have demonstrated significant capabilities in understanding and generating natural language, excelling in tasks such as question-answering, text generation, and classification. However, these models are predominantly monolingual, exhibiting limited proficiency in non-English and low-resource languages. Despite their problem-solving abilities and potential to enhance productivity, LLMs pose substantial risks by generating harmful, toxic, biased, or nonfactual content. Furthermore, even robust proprietary models have been susceptible to jailbreaks through sophisticated prompt engineering, particularly leveraging low-resource languages. This dissertation investigates the critical intersection of multilingual capabilities and security vulnerabilities in LLMs. Through five interconnected studies, I address these dual challenges …

Design And Development Of A Half-Bridge Llc Resonant Converter Laboratory Module, Alyssa Lam

Master's Theses

Resonant DC-DC converters have become a well-known solution in power supplies due to their ability to improve efficiency by utilizing soft-switching techniques. This further has caused a growing interest in industry to use these converters for high-switching-frequency, high-efficiency, and high-power applications such as EV charging stations, photovoltaic systems, battery chargers, etc. One particular resonant topology that has gained popularity in recent years is the LLC resonant converter. Due to the prevalent use of the LLC resonant converter, it is therefore crucial for students preparing for a career path in power electronics to become well-versed in the concept and implementation of …

Coherent Synchronization For Distributed Digital Phased Arrays, Zachary C. Numa

Master's Theses

Distributed digital phased arrays are rising technologies that help enable applications such as search and rescue operations, wireless communication, radar navigation, and military operations, among many others. Due to their improved angular resolution, digital phased arrays offer superior direction-finding capabilities compared to traditional analog phased array systems. However, this improvement comes at the cost of increased complexity—specifically, the need for precise synchronization of phase, time, and frequency across physically separated nodes. Without synchronization, the distributed phased array's gain and direction-of-arrival (DoA) estimations deteriorate significantly.

There are multiple aspects to implementing and synchronizing a non-stationary distributed digital phased array. This research …

Open Source Microgrid Integration, Zachary J. Kwast

Master's Theses

Microgrids are small-scale electrical systems that operate in tandem with a centralized grid to provide power to a smaller group of target devices. These microgrids are used for a wide range of different purposes, which invites the need for a generalized model that can be tweaked for a variety of uses. This document goes over the theory used to design an open source AC and DC microgrid meant for use by anyone. The microgrid is created using a Raspberry Pi that controls two different power converters so that a wide range of voltage and current characteristics can be achieved. These …

Bandwagon Behavior In Major League Baseball, Daniel E. Erro

Master's Theses

This study investigates “bandwagon” behavior among Major League Baseball (MLB) fans by analyzing Google search interest data from 2004 to 2019. Drawing on publicly available information from Google Trends, the analysis explores how fluctuations in search activity align with team performance during both the regular season and postseason. Hierarchical linear models are used to estimate expected levels of fan interest based on team performance and market characteristics. Deviations from these expectations during the regular season are interpreted as evidence of bandwagon or anti-bandwagon behavior. A drop-off in interest following playoff elimination is also examined to capture shifts in fan attention …

Uni Political Science Newsletter, V20, 2024-25, University Of Northern Iowa. Department Of Political Science.

Political Science Newsletter

Contents:

--- From the Department Head
--- UNI Creates Center for Civic Education, Hires Director
--- Panthers Vote Recognized
--- Deputy Secretary of State Visits Campus
--- Celebrating Leaders in Public Service
--- Women in Public Service
--- You're Next Leadership Conference 2025
--- Model UN
--- Vajpeyi Fellowship
--- Iowa Human Rights Research Conference
--- Student Research
--- Montalvo Receives Lux Service Award
--- Purple & Old Gold Award
--- Congratulations 2024-25 Graduates
--- Faculty Updates
--- Keller Receives Gold & Bold Award
--- Alumni, Friends Recognized with President's Distinguished Award
--- Alumni Updates

An Evaluation Of The Role Of Conditional And Unconditional Probabilities In A Precursor Functional Analysis, Cassie Ross

Masters Theses

Functional analysis assessments are extremely useful tools in determining the function of challenging behavior and designing behavior intervention plans (Iwata et al. 1982/1994), but in the case of severe challenging behavior, can be dangerous to the individual or assessor. Precursor functional analyses place the contingencies onto a precursor to the severe challenging behavior and have been shown to be an effective assessment with high correspondence to a traditional functional analyses (Rahaman et al. 2024). This study utilized a probability analysis to identify precursor behaviors and assess the time required to identify precursors. We used a modified Functional Assessment Interview to …

Using Computerized Instruction To Increase Professional Competence With Cognitive Behavioral Therapy (Cbt) Modifications, Paige Lee Sherlund-Pelfrey

Masters Theses

One in thirty-six children receive an Autism Spectrum Disorder (ASD) diagnosis, and an estimated 5.4 million adults in the United States have previously received an ASD diagnosis (Centers for Disease Control and Prevention [CDC], 2022). At least seventy percent of individuals with ASD have one comorbid disorder (Valderas et al., 2009). Some common comorbid disorders for individuals with ASD include depression, anxiety, and obsessive-compulsive disorders. Cognitive Behavioral Therapy is an evidence-based therapy that can support depressive, anxiety and OCD symptoms, and has empirically supported modifications that can be used with the ASD population. However, research reports that clinicians are not …

Bound: The Imaginative Surplus Of Contractual Intent, Elizabeth F. Emens

Faculty Scholarship

Contract law is generally understood in terms of enforcement. The legal definition of a contract is a promise that the state will enforce. Individuals are empowered by contract law to create legal arrangements that the state will step in and enforce. And yet most contracts never make it to court.

This Article inverts the conventional focus on enforcement through a study of extralegal contracts. These are formal written agreements that parties call contracts but are not intended for legal enforcement. Examples of these extralegal contracts include no-suicide contracts and contracts for sexual slavery.

Examining extralegal contracts offers multiple insights. First, …

After Notice And Choice: Reinvigorating “Unfairness” To Rein In Data Abuses, Lina M. Khan, Samuel A.A. Levine, Stephanie T. Nguyen

Faculty Scholarship

The Federal Trade Commission (FTC) has long served as America’s default privacy enforcer. Yet for much of its history, the agency relied on self-regulation through a “notice and choice” framework that left the public vulnerable in an era of rampant data collection and digital surveillance. Businesses overwhelmed users with dense privacy notices while amassing and exploiting vast troves of personal data. The agency’s historical approach, rooted in outdated assumptions about self-correcting markets and an ideologically cramped view of the FTC’s authorities and mandate, helped usher in a digital economy where data abuses became routine.

During the Biden Administration, the FTC …

Beyond Issuers: The Future Of Private Securities Litigation, Joshua Mitts

Faculty Scholarship

Private securities litigation has traditionally been viewed as a subfield of corporate governance, reducing agency costs by disciplining wayward management. In this brief Symposium essay, I argue that the future of private securities litigation lies beyond issuers. I discuss how a fraud claim under Rule 10b-5 can be understood as a kind of economic tort, and set out, in broad strokes, an economic analysis of claims against non-issuer defendants. I then consider emerging trends in the case law against non-issuers in social media and market manipulation cases. I conclude by identifying some challenges and opportunities for securities litigation in a …

Presidential Supremacy Over Administrative Agencies, Gary Gensler, Lev Menand

Faculty Scholarship

In the United States, the public has long benefited from the role played by administrative agencies with a degree of autonomy from the White House, each agency with distinct duties and authorities to implement the law as set out by Congress.

In its first hundred days, the second Trump administration has moved rapidly to centralise control over all administrative agencies, including so-called independent agencies, which have long operated at a greater remove from the White House than ‘executive’ agencies like the Department of State and the Department of Commerce. The administration is asserting an interpretation of the Constitution known as …

What Of It? Coding The Unmarked Of-Preposition In Language Samples From Young Aae Speakers, Denise A. Finneran, Maura J. Moyle, Alaina Nash, Sixia Chen

Speech Pathology and Audiology Faculty Research and Publications

We examined the of-preposition in language samples because it is a highly variable feature that can be marked or unmarked (e.g., “out [of] the door”) depending on context. Children who speak African American English (AAE) produce unmarked of-prepositions in contexts that are universal across AAE and General American English (GAE; e.g., “out [of] the window”) and in contexts specific to the AAE dialect (e.g., “out [of] the car”). Guidance in the literature on this variability is limited for language sample analysis. Participants included 113 children who spoke AAE. We examined contexts with unmarked of-prepositions in narrative language samples in a …

Rationale And Justification Of The Overarching Principles In The Governance Maturity Framework, Janna Wong, Eugene K. B. Tan, Steve Loh

Lien Centre for Social Innovation: Research

This research addresses the lack of a unified framework for measuring the governance maturity of impact organisations across countries with diverse legal landscapes and cultures, which complicates international assessment and collaboration. In response, we propose a governance framework tailored to the legal context of six countries: India, Indonesia, Malaysia, the Philippines, Singapore, and Thailand. Our analysis identifies six overarching principles embedded in the non-profit laws of the six countries: (1) purpose and impact, (2) leadership, (3) integrity, (4) communication, (5) efficacy, and (6) financial transparency and accountability. These six overarching principles form the proposed framework, which was operationalised and further …

A Post-Dobbs World: More Than One Right To Privacy Under Attack, Sarah Jane Catarozoli

UC Law SF Journal on Gender and Justice

No abstract provided.

Riding For The Brand: Advancing Leadership Development In The Poly Royal Rodeo Program, Jack Busch

Agricultural Education: Graduate Internship Reports

While the Poly Royal Leadership Class provides a valuable platform for student involvement in large scale event planning, the structure lacked consistency in leadership development methods, project management tools, and hands-on training simulations, resulting in uneven engagement, limited collaboration efficiency, and varied preparedness levels among student leaders and committee members.

On Sgx’S Voyage To Corporate Sustainability: Exploring Emerging Topics In Multi-Industry Corpora, Xinwen Ni, Min Bin Lin, Simon J.D. Schillebeeckx, Wolfgang Karl Hardle

Research Collection Lee Kong Chian School Of Business

Topic modeling and LDA (Latent Dirichlet Allocation) have proven valuable in various fields as an innovative approach to studying areas of interest and identifying topics in a dynamic content. The underlying assumption is that techniques like LDA can swiftly capture emerging topics in textual documents compared to other categorization tools. These unsupervised approaches have been used to identify new industries and technological domains. However, our study on the nascent topic of “sustainability” within the corpora of SGX-listed companies highlights clear limitations in employing techniques like LDA on sparse data. The dynamic LDA approach, also called DTM (Dynamic Topic Modelling),based on …

“Everything Is A New Challenge For Each Of Us”: A Qualitative Exploration Of Elementary Newcomer Students’ And Families’ Lived Experiences Of Acclimating To U.S. Schooling, Maureen Margaret Medeiros

Social Justice in Educational Leadership EdD Dissertations

Newcomer students, defined as foreign-born children who have attended U.S. schools for less than three years, are entering U.S. schools in ever-increasing numbers. Schools are often the first institutions to welcome immigrants to local communities, and meeting the linguistic, socioemotional, and academic needs of newcomer students and their families is essential to their success. However, data on newcomers is not publicly accessible, which makes them not easily visible in the school system. Furthermore, newcomers may have socioemotional challenges due to their prior life experiences, the immigration process, and then the likely challenges of limited English fluency which can lead to …

Criminal Organizations And Nuclear Threats In Southeast Asia, Gary Ackerman, Thomas Guarrieri, Justin V. Hastings, Steven Hoodjer

International Journal of Nuclear Security

Increasing global interest in nuclear energy and peaceful uses of nuclear technology has led to facilities in emerging countries with nuclear materials and radioactive sources that could be stolen, sabotaged, or otherwise accessed by criminals. In this paper, we created a framework to assess the motivations and capabilities of criminal networks and measure the threats they may pose to different stages of the nuclear fuel cycle in emerging nuclear states. We applied the framework to a unique dataset, capturing characteristics of criminal organizations active in Southeast Asia, which allowed us to assess which criminal organizations are most likely to pose …

Aggregator Zone Selection For Ev Smart Controls Based-On Ml Clustering Of Grid Strength, Distance, And Charging Homogeneity, Rosemary E. Alden, Sam H. Lowe Ii, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

Smart electric vehicle (EV) charging control methods from a central utility hub often require communication infrastructure over a large service area of electric power distribution systems with a large number of nodes. Industry standards such as Open Charge Point Protocol (OCPP) 2.1 have evolved to include topologies for local controllers to the individual chargers, i.e. EV aggregator zones. A machine learning (ML) application of k-means clustering is proposed to establish zones for coordination of EV charging based on grid strength and EV owner decision-making to charge per day. Very large-scale distribution networks including the IEEE 123 and 8500 benchmark feeders …

Nursing Education Research In Sub-Saharan Africa: A Systematic Review And Bibliometric Analysis, Beth Waweru, Peter Gatiti, Serah Wachira

School of Nursing & Midwifery, East Africa

Nursing education is pivotal for ensuring competent healthcare professionals, and its improvement is essential for enhancing the quality of health care systems globally. This study focuses on nursing education research in Sub-Saharan Africa (SSA) over the last decade, employing both bibliometric analysis and systematic review methodologies. The bibliometric analysis reveals an evolving landscape of nursing education research in SSA, offering insights into trends, key countries, journals, and predominant research themes. Notably, the study identifies a scarcity of literature using bibliometric approaches in nursing research, addressing this gap by providing a comprehensive overview of the field.The systematic review, guided by the …