Urban Redevelopment: New Bedford Massachusetts

In 2010, 80% of Americans lived in urban areas with the number on the rise. Trends in the economy and people\u27s desires affect the demographics of the United States and over recent years there has been a movement from rural to urban areas called urbanization. Throughout the history of the United States, cities have seen economic successes where the city thrived, along with turmoil where the city was plagued with unemployment and a stagnant economy. This study assesses the developments of New Bedford Massachusetts, a city with a population of approximately 100,000, located in South East Massachusetts. New Bedford\u27s economic success has been primarily based on the success of a single industry, beginning with whaling and moving to textile manufacturing and commercial fishing. Because of a variety of factors, New Bedford saw a decrease in population employment and income beginning during the Great Depression era and never regained its success. New Bedford has certain assets that if capitalized on can be central to the urban redevelopment of the city. The geography of the city is crucial because of the proximity to the larger cities of Boston Providence and New York to high population density areas and to the access to the ocean with the Port of New Bedford. The rich history of the city has the potential to be an asset for tourism as well. Ultimately, New Bedford has the potential to capitalize on assets that already exist in the city which many others do not. Through diversification and creative strategies New Bedford has the potential not just for a quick boost to the economy, but for long term success in redeveloping the city

France and SDI

Those critics who argue that the Strategic Defense Initiative (SDI) will divide the Atlantic alliance, frequently cite the French Government\u27s opposition as evidence. The French view of SDI, however, is neither simple nor monolithic

Design and methods of the Care Management for the Effective Use of Opioids (CAMEO) trial

Low back pain is the most common pain condition seen in primary care, with the most common treatment being analgesic medications, including opioids. A dramatic increase in opioid prescriptions for low back pain over the past few decades has led to increased non-medical use and opioid overdose deaths. Cognitive behavioral therapy (CBT) for chronic pain is an evidence-based non-pharmacological treatment for pain with demonstrated efficacy when delivered using collaborative care models. No previous studies have tested CBT compared to analgesic optimization that includes opioid management in primary care. This paper describes the study design and methods of the CAre Management for the Effective use of Opioids (CAMEO) trial, a 2-arm, randomized comparative effectiveness trial in seven primary care clinics. CAMEO enrolled 261 primary care veterans with chronic (6 months or longer) low back pain of at least moderate severity who were receiving long-term opioid therapy and randomized them to either nurse care management focused on analgesic treatment and optimization (MED) or cognitive behavioral therapy (CBT). All subjects undergo comprehensive outcome assessments at baseline, 3, 6, 9, and 12 months by interviewers blinded to treatment assignment. The primary outcome is pain severity and interference, measured by the Brief Pain Inventory (BPI) total score. Secondary outcomes include health-related quality of life, fatigue, sleep, functional improvement, pain disability, pain beliefs, alcohol and opioid problems, depression, anxiety, and stress

[Avian cytogenetics goes functional] Third report on chicken genes and chromosomes 2015

High-density gridded libraries of large-insert clones using bacterial artificial chromosome (BAC) and other vectors are essential tools for genetic and genomic research in chicken and other avian species... Taken together, these studies demonstrate that applications of large-insert clones and BAC libraries derived from birds are, and will continue to be, effective tools to aid high-throughput and state-of-the-art genomic efforts and the important biological insight that arises from them

Earmarks and Subcommittee Government in the U.S. Congress

In recent years, considerable scholarly attention has focused on earmarks, the quintessential example of pork barrel politics. We assess the degree to which existing theories can explain the distribution of earmarks in the U.S. House of Representatives. First, drawing on informal interviews with individuals on Capitol Hill regarding the earmark process, we argue that assessing institutional and constituency-level factors that affect the earmark receipts of individual members requires examination at the level of the Appropriations subcommittees. Second, we demonstrate that both distributive and partisan theories of legislative organization are applicable to the distribution of earmarks. Finally, we present results indicating that contrary to the conventional wisdom, most subcommittees do not distribute pork based on electoral vulnerability. Rather, legislators’ status in the appropriations process has the most influence. These findings offer insights into the path forward as debate continues over congressionally directed spending.Yeshttps://us.sagepub.com/en-us/nam/manuscript-submission-guideline

Research Priorities to Support Effective Manta and Devil Ray Conservation

Manta and devil rays are filter-feeding elasmobranchs that are found circumglobally in tropical and subtropical waters. Although relatively understudied for most of the Twentieth century, public awareness and scientific research on these species has increased dramatically in recent years. Much of this attention has been in response to targeted fisheries, international trade in mobulid products, and a growing concern over the fate of exploited populations. Despite progress in mobulid research, major knowledge gaps still exist, hindering the development of effective management and conservation strategies. We assembled 30 leaders and emerging experts in the fields of mobulid biology, ecology, and conservation to identify pressing knowledge gaps that must be filled to facilitate improved science-based management of these vulnerable species. We highlight focal research topics in the subject areas of taxonomy and diversity, life history, reproduction and nursery areas, population trends, bycatch and fisheries, spatial dynamics and movements, foraging and diving, pollution and contaminants, and sub-lethal impacts. Mobulid rays remain a poorly studied group, and therefore our list of important knowledge gaps is extensive. However, we hope that this identification of high priority knowledge gaps will stimulate and focus future mobulid research

Causation, not collinearity:identifying sources of bias when modelling the evolution of brain size and other allometric traits

Many biological traits covary with body size, resulting in an allometric relationship. Identifying the evolutionary drivers of these traits is complicated by possible relationships between a candidate selective agent and body size itself, motivating the widespread use of multiple regression analysis. However, the possibility that multiple regression may generate misleading estimates when predictor variables are correlated has recently received much attention. Here, we argue that a primary source of such bias is the failure to account for the complex causal structures underlying brains, bodies, and agents. When brains and bodies are expected to evolve in a correlated manner over and above the effects of specific agents of selection, neither simple nor multiple regression will identify the true causal effect of an agent on brain size. This problem results from the inclusion of a predictor variable in a regression analysis that is (in part) a consequence of the response variable. We demonstrate these biases with examples and derive estimators to identify causal relationships when traits evolve as a function of an existing allometry. Model mis-specification relative to plausible causal structures, not collinearity, requires further consideration as an important source of bias in comparative analyses

Causation, not collinearity:identifying sources of bias when modelling the evolution of brain size and other allometric traits

SFW is supported by a Fellowship from Fulbright Canada. MBM is supported by a University Research Fellowship from the Royal Society (London, UF130398).Many biological traits covary with body size, resulting in an allometric relationship. Identifying the evolutionary drivers of these traits is complicated by possible relationships between a candidate selective agent and body size itself, motivating the widespread use of multiple regression analysis. However, the possibility that multiple regression may generate misleading estimates when predictor variables are correlated has recently received much attention. Here, we argue that a primary source of such bias is the failure to account for the complex causal structures underlying brains, bodies, and agents. When brains and bodies are expected to evolve in a correlated manner over and above the effects of specific agents of selection, neither simple nor multiple regression will identify the true causal effect of an agent on brain size. This problem results from the inclusion of a predictor variable in a regression analysis that is (in part) a consequence of the response variable. We demonstrate these biases with examples and derive estimators to identify causal relationships when traits evolve as a function of an existing allometry. Model mis-specification relative to plausible causal structures, not collinearity, requires further consideration as an important source of bias in comparative analyses.Publisher PDFPeer reviewe