1,321 research outputs found
Lesbian Radio, August 15 2012
No full textHost Deb Gallagher talks again with Leela Sinha, author of You’re Not Too Much: Intensive Lies in an Expansive World, about the fundamentals of good communication.https://digitalcommons.usm.maine.edu/wmpg_lesbianradio/1002/thumbnail.jp
Lesbian Radio, June 20 2012
No full textHost Deb Gallagher talks with Leela Sinha, author of You’re Not Too Much: Intensive Lies in an Expansive World, about the fundamentals of good communication.https://digitalcommons.usm.maine.edu/wmpg_lesbianradio/1001/thumbnail.jp
Internal Migration, Selection Bias and Human Development: Evidence from Indonesia and Mexico
No full textThe aim of this paper is to measure the returns to migration using non-experimental data taking both observed and unobserved characteristics into account. A significant challenge related to migration research and the issues of unobserved heterogeneity is that the standard 2stage least squares estimator (2SLS) is strictly only applicable to situations with linear and continuous treatment and outcomes, both of which are not appropriate for models of migration and many outcomes of interest. Furthermore, migration is not always a binary process given that people migrate to city or non-city locations and some migrants do return. Introducing these multinomial treatment effects means that one cannot rely on standard 2SLS methods. Using panel data from Indonesia (Indonesia Family Life Survey—IFLS) and Mexico (Mexican Family Life Survey— MxFLS) and applying non-linear instrumental variable (Heckman’s treatment effects model) and maximum simulated likelihood models, we measure the impacts of migration on a broad range of variables that include socio economic outcomes such as consumption, nutrition, health status and emotional well-being for adult household members and health and schooling outcomes for children. We find consistent results for both countries that point to significant trade-offs related to migration. We found that migration can greatly improve socio-economic status through increases in income or consumption but can also be detrimental to the health status and emotional well-being of migrants and/or their extended families.Migration, selection, non-linear instrumental variables, consumption, socio-economic mobility, health, education
Herbalist Deb Soule, author of The Roots of Healing: A Woman\u27s Book of Herbs,
No full textHerbalist Deb Soule, author of The Roots of Healing: A Woman\u27s Book of Herbs, founded Avena Botanicals of Rockland ten years ago. Avena Botanicals, perhaps the largest herbal apothecary in the Northeast, grows or gathers around 60 percent of the raw plant materials used in producing herbal extracts, oils, salves and teas. The Shaker Community of Sabbath Day Lake has an herbal tradition that is 200 years old, and the herb department is the Shakers\u27 largest industry. Pol Hermes of Dayton, Gail Edwards of Athens and Betty Chase of Falmouth are other Mainers who use herbs. Details
Internal Migration, Selection Bias and Human Development: Evidence from Indonesia and Mexico
No full textThe aim of this paper is to measure the returns to migration using non-experimental data taking both observed and unobserved characteristics into account. A significant challenge related to migration research and the issues of unobserved heterogeneity is that the standard 2stage least squares estimator (2SLS) is strictly only applicable to situations with linear and continuous treatment and outcomes, both of which are not appropriate for models of migration and many outcomes of interest. Furthermore, migration is not always a binary process given that people migrate to city or non-city locations and some migrants do return. Introducing these multinomial treatment effects means that one cannot rely on standard 2SLS methods. Using panel data from Indonesia (Indonesia Family Life Survey—IFLS) and Mexico (Mexican Family Life Survey— MxFLS) and applying non-linear instrumental variable (Heckman’s treatment effects model) and maximum simulated likelihood models, we measure the impacts of migration on a broad range of variables that include socio economic outcomes such as consumption, nutrition, health status and emotional well-being for adult household members and health and schooling outcomes for children. We find consistent results for both countries that point to significant trade-offs related to migration. We found that migration can greatly improve socio-economic status through increases in income or consumption but can also be detrimental to the health status and emotional well-being of migrants and/or their extended families.The aim of this paper is to measure the returns to migration using non-experimental data taking both observed and unobserved characteristics into account. A significant challenge related to migration research and the issues of unobserved heterogeneity is that the standard 2stage least squares estimator (2SLS) is strictly only applicable to situations with linear and continuous treatment and outcomes, both of which are not appropriate for models of migration and many outcomes of interest. Furthermore, migration is not always a binary process given that people migrate to city or non-city locations and some migrants do return. Introducing these multinomial treatment effects means that one cannot rely on standard 2SLS methods. Using panel data from Indonesia (Indonesia Family Life Survey—IFLS) and Mexico (Mexican Family Life Survey— MxFLS) and applying non-linear instrumental variable (Heckman’s treatment effects model) and maximum simulated likelihood models, we measure the impacts of migration on a broad range of variables that include socio economic outcomes such as consumption, nutrition, health status and emotional well-being for adult household members and health and schooling outcomes for children. We find consistent results for both countries that point to significant trade-offs related to migration. We found that migration can greatly improve socio-economic status through increases in income or consumption but can also be detrimental to the health status and emotional well-being of migrants and/or their extended families.
MILLIMETER-WAVE WIRELESS NETWORK-ON-CHIP: A CMOS COMPATIBLE INTERCONNECTION INFRASTRUCTURE FOR FUTURE MANY-CORE PROCESSORS
No full textThesis (Ph.D.), School of Electrical Engineering and Computer Science, Washington State UniversityMulti-core platforms are emerging trends in the design of Systems-on-Chip (SoCs). Interconnect fabrics for these multi-core SoCs play a crucial role in achieving the target performance. The Network-on-Chip (NoC) paradigm has been proposed as a promising solution for designing the interconnect fabric of multi-core SoCs. But the performance requirements of NoC infrastructures in future technology nodes cannot be met by relying only on material innovation with traditional scaling. The continuing demand for low power and high speed interconnects with technology scaling necessitates looking beyond the conventional planar metal/dielectric-based interconnect infrastructures. Among different possible alternatives, the on-chip wireless communication network is envisioned as a revolutionary methodology, capable of bringing significant performance gains for multi-core SoCs. Millimeter-wave Wireless NoCs (mWNoCs) can be designed by using miniaturized on-chip antennas as an enabling technology. On-chip CMOS compatible millimeter-wave wireless links provide high bandwidth and low power communication channels over long distances. Hence they can be used to create short cuts between distant cores on the chip to provide fast and efficient traffic freeways. From standard network topologies used in traditional NoCs we move towards nature inspired ones like the Small-World graph. Such topologies inherently have low average inter-core distances and scale very well with increase in size. In this work, design methodologies and technology requirements for scalable mWNoC architectures are presented and their performance is evaluated. It is demonstrated that mWNoCs outperform their wired counterparts in terms of network throughput and latency, and that energy dissipation improves by orders of magnitude under various experimental and real-life scenarios.Department of Electrical Engineering, Washington State Universit
Increasing fuel resilience to survive Cascadia
No full textprepared by Oregon Seismic Safety Policy Advisory Commission, Working Group on CEI Hub Mitigation Strategies ; production writer: Laura Hall ; production assistant: Deb Schueller.Title from PDF cover (viewed on January 15, 2020)."OSSPAC Publication Number 19-01."This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Includes bibliographical references (pages 31-32).Mode of access: Internet from the Oregon Government Publications Collection.Text in English
Essays in Experimental Economics: Labor Market Discrimination
No full texti Abstract The three chapters in this dissertation use field experiments to examine discrimination in various settings. Chapters I and II use a correspondence testing approach to study discrimination against applicants with visible tattoos in the German labor market. Previous empirical research has documented unfavorable treatment of tattooed applicants on the labor market. This may be because negative stereotypes are still associated with tattooed people, despite the increasing popularity of tattoos. However, the impact of tattoos on employment chances may be different across different occupations. Fictitious applications are sent to online job postings in the banking and IT sector. Otherwise identical applications differ only in the picture attached: in the treatment group the applicants have a visible tattoo. The extent of discrimination is measured by the difference in callback rates. The data indicates that the candidates without visible tattoos have, on average, a 13-percentage point higher callback rate in the banking sector, and in the IT sector applicants with visible tattoos are about 25% less likely to get a callback. In the third chapter we conduct a study of hiring bias on an online platform where we ask participants to make hiring decisions for a mathematically intensive task. Our findings..
Graduate medical education in 2030 (Podcast)
No full textIn the June issue of the Journal of Graduate Medical Education, an editorial explores what graduate medical education will look like in 2030. In this episode, JGME deputy editor, Deb Simpson, speaks with physician, educator, and author, James Woolliscroft, about the future of graduate medical education, especially in the wake of the COVID-19 pandemic. They discuss the roles of the DIO, program director, and faculty as well as the impact of technology on the medical education system
Econ Hum Biol
No full textThis paper examines the relationship between increased Supplemental Nutritional Assistance Program (SNAP) benefits following the 2009 American Recovery and Reinvestment Act (ARRA) and the diet quality of individuals from SNAP-eligible compared to ineligible (those with somewhat higher income) households using data from the 2007-2010 National Health and Nutrition Examination Survey. The ARRA increased SNAP monthly benefits by 13.6% of the maximum allotment for a given household size, equivalent to an increase of 144 for one-to-eight person households respectively. In the full sample, we find that these increases in SNAP benefits are not associated with changes in nutrient intake and diet quality. However, among those with no more than a high school education, higher SNAP benefits are associated with a 46% increase in the mean caloric share from sugar-sweetened beverages (SSBs) and a decrease in overall diet quality especially for those at the lower end of the diet quality distribution, amounting to a 9% decline at the 25th percentile.CC999999/ImCDC/Intramural CDC HHSUnited States
- …
