Knitting Together Communities - Designing the Heart of Six Corners and Old Hill

Knitting together Communities -Designing the Heart of Six Corners and Old Hill Knitting Together Communities – Designing the Heart of Six Corners and Old Hill provides a framework to knit together assets and opportunities for creating a strong identity and sense of coherence for a transformative urban district in Springfield, MA. The Senior Urban Design Studio 2019 created six proposals that were searching for design opportunities that enhance the aesthetic quality of the neighborhood and increase services for the wellbeing of the residents. The two neighborhoods are characterized by strong neighborhood leadership through committed residents, community centers and active religious organizations, and a lively culture of urban agriculture (GTC) that keeps growing and fosters a positive spirit in the community. The studio analyzed the assets of the district, engaged with residents through site visits, personal interviews with community leaders and groups, and a neighborhood engagement workshop. Design Objectives The design program was developed through the engagement with stakeholders, area observations and classical analysis of the area: • More entrances, accessibility and programming for active and passive recreation for the centrally located Ruth Elizabeth Park • Gerrish Park near roundabout needs to be more usable for markets and events • Historic Mill River and Watershops Pond should be connected to the larger green network; Harriet Tubman Park needs to be connected to the water’s edge. • Public art on exterior walls through education at schools and local artists • Synergies between Springfield College neighborhood to create new student housing and provide amenities that integrate this population for mutual benefits • Complete streets through extensive street tree plantings, widening of sidewalks and bicycle lanes • Stormwater management strategies: bioswales along streets, green roofs, infiltration areas in new parks, porous pavement. • Multiple housing opportunities: vacant small lots for infill, mix housing with retail and commercial on upper floors of new buildings, adaptive reuse of historic buildings as live-work spaces • Neighborhood amenities like a grocery store and pharmacy • Spaces for a cultural and commercial hub including all-year activities outsid

From staff-mix to skill-mix and beyond: towards a systemic approach to health workforce management

Throughout the world, countries are experiencing shortages of health care workers. Policy-makers and system managers have developed a range of methods and initiatives to optimise the available workforce and achieve the right number and mix of personnel needed to provide high-quality care. Our literature review found that such initiatives often focus more on staff types than on staff members' skills and the effective use of those skills. Our review describes evidence about the benefits and pitfalls of current approaches to human resources optimisation in health care. We conclude that in order to use human resources most effectively, health care organisations must consider a more systemic approach - one that accounts for factors beyond narrowly defined human resources management practices and includes organisational and institutional conditions

The United States COVID-19 Forecast Hub dataset

Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, the United States Centers for Disease Control and Prevention (CDC) partnered with an academic research lab at the University of Massachusetts Amherst to create the US COVID-19 Forecast Hub. Launched in April 2020, the Forecast Hub is a dataset with point and probabilistic forecasts of incident cases, incident hospitalizations, incident deaths, and cumulative deaths due to COVID-19 at county, state, and national, levels in the United States. Included forecasts represent a variety of modeling approaches, data sources, and assumptions regarding the spread of COVID-19. The goal of this dataset is to establish a standardized and comparable set of short-term forecasts from modeling teams. These data can be used to develop ensemble models, communicate forecasts to the public, create visualizations, compare models, and inform policies regarding COVID-19 mitigation. These open-source data are available via download from GitHub, through an online API, and through R packages

Iron promotes the toxicity of amyloid beta peptide by impeding its ordered aggregation

We have previously shown that overexpressing subunits of the iron-binding protein ferritin can rescue the toxicity of the amyloid β (Aβ) peptide in our Drosophila model system. These data point to an important pathogenic role for iron in Alzheimer disease. In this study, we have used an iron-selective chelating compound and RNAi-mediated knockdown of endogenous ferritin to further manipulate iron in the brain. We confirm that chelation of iron protects the fly from the harmful effects of Aβ. To understand the pathogenic mechanisms, we have used biophysical techniques to see how iron affects Aβ aggregation. We find that iron slows the progression of the Aβ peptide from an unstructured conformation to the ordered cross-β fibrils that are characteristic of amyloid. Finally, using mammalian cell culture systems, we have shown that iron specifically enhances Aβ toxicity but only if the metal is present throughout the aggregation process. These data support the hypothesis that iron delays the formation of well ordered aggregates of Aβ and so promotes its toxicity in Alzheimer disease