Knowledge of Type II Diabetes and its Complications Among Adult Vietnamese Immigrants

This was a non-experimental quantitative study using survey method to assess diabetic knowledge of 102 adult Vietnamese immigrants. The Health Belief Model provided the theoretical framework, and the 24-item diabetes knowledge questionnaire was adopted from the Starr County Texas study to use for this study. Data were categorized and analyzed using descriptive methods such as frequency and percentage. The findings indicated that lack of knowledge about diabetes was a significant issue among the Vietnamese immigrant population. Health care providers should develop an appropriate cultural educational program about diabetes to help the Vietnamese population to detect diabetes early and to control diabetes effectively

Delinquency Among Asian/Pacific Islanders: Review of Literature and Research

This article reviews 34 studies of juvenile delinquency among Asian/Pacific Islanders (APIs) published in referred journals, book chapters, masters theses, and doctoral dissertations since 1970. The author discusses which API ethnic groups have been studied, the ways in which researchers have studied delinquent behavior among APIs and the theoretical models proposed to explain this relationship, as well as empirical findings. Researchers vary widely in their conceptual and methodological perspectives which have resulted in limited and conflicting findings. Researchers are also only beginning to explore and understand important inter- and intra-API differences related to delinquency. The author summarizes the research to date, examining commonly identified risk and protective factors related to delinquency among APIs, and recommends a theoretical orientation for more precise and in-depth research

Agent-based Sensor-Mission Assignment for Tasks Sharing Assets

(c) IFAAMASPeer reviewedPostprin

Not Invisible: Asian Pacific Islander Juvenile Arrests in San Francisco County

This report is based on data that was originally collected by the San Francisco Juvenile Probation Department. The data reflect all juvenile arrests in the city and county of San Francisco that were referred to the Probation Department and are presented in two ways: 1) total number of arrests per year, and 2) total number of individual youths who were arrested during a given year. Many of the youths who were categorized in the race/ethnic field as "Other Asian" and "Other" can be classified into a specific race/ethnic group by examining the youth's last name. A database of common Asian Pacific Islander surnames and the race/ethnic group that coincides with that surname was developed for the purpose of this project

Mindfulness-Based Adventure Camp for Military Youth

Research suggests that military youth have higher rates of anxiety and socio-emotional difficulties as compared to their non-military peers, due in part to the unique stressors of military life. The study reported here provides feasibility findings of a mindfulness-based adventure camp that was conducted in Colorado and Hawaii with 292 military youth, through a partnership with 4-H Extension Professionals /Operations Military Kids. The results suggest that military youth were highly satisfied with the camp experience and that mindfulness tools could be used to help deal with stress. Mindfulness-based programs could be one way for Extension professionals to work with youth

A Tightly Integrated Generic Instruction RISC-V Accelerator (TIGRA) for the Rocket Core

Custom accelerators are largely beneficial for compute intensive applications such as data encryption or floating point arithmetic. These accelerators allow for a very specific task to be offloaded to its own unit so that the rest of the pipeline is not overwhelmed by these complicated instructions. To further achieve speed, a custom accelerator can be offloaded to an FPGA while still being on the same die as the CPU. Intel had announced this new technology back in 2014 and recently at the end of 2020, AMD released a patent application describing a similar approach. In this thesis, we present a tightly coupled accelerator for the Rocket core, a RISC-V core that was developed at the University of California, Berkeley. This accelerator allows the user to develop their own custom logic that is part of the five stage pipeline but is abstracted away from execution units. This tightly coupled accelerator allows the user custom R-type instructions in the RISC-V ISA to use for their own applications. We test the generic accelerator with the following three test applications: AES, posit addition, and the Rocket core\u27s ALU. All three applications execute without any additional latency and stalls the pipeline appropriately for instructions that execute in more than one clock cycle

Securing Soft IPs against Hardware Trojan Insertion

Due to the increasing complexity of hardware designs, third-party hardware Intellectual Property (IP) blocks are often incorporated in order to alleviate the burden on hardware designers. However, the prevalence use of third-party IPs has raised security concerns such as Trojans inserted by attackers. Hardware Trojans in these soft IPs are extremely difficult to detect through functional testing and no single detection methodology has been able to completely address this issue. Based on a Register-Transfer Level (RTL) and gate-level soft IP analysis method named Structural Checking, this dissertation presents a hardware Trojan detection methodology and tool by detailing the implementation of a Golden Reference Library for matching an unknown IP to a functionally similar Golden Reference. The matching result is quantified in percentages so that two different IPs with similar functions have a high percentage match. A match of the unknown IP to a whitelisted IP advances it to be identified with a known functionality while a match to a blacklisted IP causes it to be detected with Trojan. Examples are given on how this methodology can successfully identify hardware Trojans inserted in unknown third-party IPs. In addition to soft IPs analysis, Structural Checking provides data flow tracking capability to help users discover vulnerable nodes of the soft IPs. Structural Checking is implemented with a graphical user interface, so it does not take users much time to use the tool

Determinants of Growth Volatility in Low- and Middle-income Countries

This study examines the structural, institutional, and political factors that influence the levels of economic volatility observed in low- and middle-income countries. Analyzing a sample of 86 countries over the period 1997-2019, the study finds that the determinants of per capita GDP growth volatility change as a country moves up the income ladder. For the developing countries with relatively low income levels, the most important sources of economic instability include the relative sizes of government spending and of credit supply, variations in agricultural productivity growth, and governing factors such as the level of law enforcement and the extent to which democratic practices are upheld. For the developing countries at higher income ranks, fluctuations in productivity growth (especially industrial and service productivity) and the scale of the agricultural sector are the most important contributors to their economic volatility. The study also finds a trade-off relationship between economic development and volatility, in which the achievement of the former is likely to result in a greater degree of the latter