Numerical Modelling of Species Exchange in a 3D Porous Medium: Modelling Exchange Within the Human Lung

The volume-averaged oxygen transport equation is closed using a volume-averaged form of Fick’s law of diffusion between the air and tissue to simulate species exchange within the lungs’ alveoli using a computational fluid dynamics (CFD) 3D conjugate domain model. Pore level simulations of a terminal alveolated duct are used to determine that the transport of inhaled oxygen from the cluster inlet to the alveolar walls is diffusion dominated. The resistance to oxygen diffusion into the tissue is found to be a function of the tidal volume and tissue transport properties, with a maximum respiration frequency at which the full amount of oxygen available can be exchanged per breath dependent on the tidal volume. The simulated exhaled oxygen and carbon dioxide compositions match experimental values for regular resting respiration. Therefore, this model provides a viable new approach to modelling species exchange within the alveoli

From Options to Action: A Roadmap for City Leaders to Connect Formerly Incarcerated Individuals to Work

On February 28, 2008, P/PV, along with The United States Conference of Mayors, the Robert F. Wagner Graduate School of Public Service at NYU and the City of New York, convened the Mayors Summit on Reentry and Employment, where 150 city leaders, policymakers, practitioners and academics came together from more than 20 cities to share strategies for connecting formerly incarcerated people to the labor market. From Options to Action was inspired and informed by discussions that took place at the Summit, as well as P/PV's experience in the field and a review of pertinent literature. It is meant to provide a framework for reentry efforts, with guidance for cities in early planning phases as well as those implementing more advanced strategies. The report presents practical steps for achieving a more coordinated, comprehensive approach to reentry at the city level, including identifying and convening relevant stakeholders, addressing city-level barriers to employment, engaging the business community and working with county, state and federal leaders to implement collaborative approaches and produce needed policy change.Because mayors and other municipal leaders are confronted with the day-to-day reality of prison and jail reentry and see its detrimental effects in their cities, many have already begun to seek out, test and refine lasting solutions. We hope this publication will support their efforts, as they work to interrupt the revolving door of recidivism -- and offer hope to returning prisoners, their families and communities

Brain connectivity Patterns Dissociate action of specific Acupressure Treatments in Fatigued Breast cancer survivors

Funding This work was supported by grants R01 CA151445 and 2UL1 TR000433-06 from the National Institutes of Health. The funding source had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication. We thank the expert assistance by Dr. Bradley Foerster in acquisition of 1H-MRS and fMRI data.Peer reviewedPublisher PD

The Relationships Between School Poverty and Student Achievement in Maine

The goal of this study was to examine the relationships between school level poverty found in Maine schools and student academic performance. The evidence clearly shows that there is a relationship. As the percent of poverty increases in a school, student performance declines. But the poverty level alone does not explain the wide variations in performance found across the state. The level of poverty in a school is the single best predictor of average student performance, but other factors also play a role in influencing student achievement. Some of these factors include the type of school students are enrolled in, years of teaching experience of the school staff, and the education levels of teachers. Evidence was also found for some higher poverty schools that were defying the odds. Even with higher levels of poverty in their schools, these schools were successful in producing higher levels of student performance. Two additional characteristics were discovered for student performance in higher poverty schools. First, overall performance differs in K-8 and middle schools. The negative relationship between poverty levels and performance is weaker for K-8 schools. More of the higher poverty K-8 schools are performing better than higher poverty middle schools. Second, the levels of poverty found in schools not only affected children in poverty but also those not in poverty. Students in higher poverty schools who do not qualify for free or reduced lunches do not perform as well as their cohorts in lower poverty schools. What is unclear are the causes of this lower performance of non-poverty children in higher poverty schools. Without question, the evidence examined in this study indicates that levels of school poverty and average student achievement are related. The magnitude of the relationship varies, and other factors are related to poverty and achievement, but the single best predictor of performance is school poverty level. The bright news is that there are schools at all levels that defy the odds. Student achievement is better than predicted in spite of school poverty levels. These schools may provide good models for other schools to emulate. In addition, the evidence from this study indicates that there is more to learn about the performance of some types of school configurations (i.e., K-8 schools) and the performance of non-poverty children in higher poverty schools. Additional numerical data is included in the appendices. [This study was funded by the Maine State Legislature, and the University of Maine System.

An in vitro comparison of the neurotrophic and angiogenic activity of human and canine adipose-derived mesenchymal stem cells (MSCs): translating MSC-based therapies for spinal cord injury.

The majority of research into the effects of mesenchymal stem cell (MSC) transplants on spinal cord injury (SCI) is performed in rodent models, which may help inform on mechanisms of action, but does not represent the scale and wound heterogeneity seen in human SCI. In contrast, SCI in dogs occurs naturally, is more akin to human SCI, and can be used to help address important aspects of the development of human MSC-based therapies. To enable translation to the clinic and a comparison across species, we have examined the paracrine, regenerative capacity of human and canine adipose-derived MSCs in vitro. MSCs were initially phenotyped according to tissue culture plastic adherence, CD immunoprofiling and tri-lineage differentiation potential. Conditioned medium (CM) from MSC cultures was then assessed for its neurotrophic and angiogenic activity using established cell-based assays. MSC CM significantly increased neuronal cell proliferation, neurite outgrowth, and βIII tubulin immunopositivity. In addition, MSC CM significantly increased endothelial cell migration, cell proliferation and the formation of tubule-like structures in Matrigel assays. There were no marked or significant differences in the capacity of human or canine MSC CM to stimulate neuronal cell or endothelial cell activity. Hence, this study supports the use of MSC transplants for canine SCI, furthermore it increases understanding of how this may subsequently provide useful information and translate to MSC transplants for human SCI

Brain Connectivity Patterns Dissociate Action of Specific Acupressure Treatments in Fatigued Breast Cancer Survivors

Persistent fatigue is a pernicious symptom in many cancer survivors. Existing treatments are limited or ineffective and often lack any underlying biologic rationale. Acupressure is emerging as a promising new intervention for persistent cancer-related fatigue; however, the underlying mechanisms of action are unknown. Our previous investigations suggested that fatigued breast cancer survivors have alterations in brain neurochemistry within the posterior insula and disturbed functional connectivity to the default mode network (DMN), as compared to non-fatigued breast cancer survivors. Here, we investigated if insula and DMN connectivity were modulated by self-administered acupressure by randomizing breast cancer survivors (n = 19) to two distinct treatments: relaxing acupressure or stimulating acupressure. All participants underwent proton magnetic resonance spectroscopy of the posterior insula and functional connectivity magnetic resonance imaging at baseline and immediately following 6 weeks of acupressure self-treatment. As compared to baseline measures, relaxing acupressure decreased posterior insula to dorsolateral prefrontal cortex connectivity, whereas stimulating acupressure enhanced this connectivity (p < 0.05 corrected). For relaxing but not stimulating acupressure, reduced connectivity was associated with sleep improvement. In addition, connectivity of the DMN to the superior colliculus was increased with relaxing acupressure and decreased with stimulating acupressure, whereas DMN connectivity to the bilateral pulvinar was increased with stimulating and decreased with relaxing acupressure (p < 0.05 corrected). These data suggest that self-administered acupressure at different acupoints has specificity in relation to their mechanisms of action in fatigued breast cancer survivors

Harnessing the NEON data revolution to advance open environmental science with a diverse and data-capable community

It is a critical time to reflect on the National Ecological Observatory Network (NEON) science to date as well as envision what research can be done right now with NEON (and other) data and what training is needed to enable a diverse user community. NEON became fully operational in May 2019 and has pivoted from planning and construction to operation and maintenance. In this overview, the history of and foundational thinking around NEON are discussed. A framework of open science is described with a discussion of how NEON can be situated as part of a larger data constellation—across existing networks and different suites of ecological measurements and sensors. Next, a synthesis of early NEON science, based on \u3e100 existing publications, funded proposal efforts, and emergent science at the very first NEON Science Summit (hosted by Earth Lab at the University of Colorado Boulder in October 2019) is provided. Key questions that the ecology community will address with NEON data in the next 10 yr are outlined, from understanding drivers of biodiversity across spatial and temporal scales to defining complex feedback mechanisms in human–environmental systems. Last, the essential elements needed to engage and support a diverse and inclusive NEON user community are highlighted: training resources and tools that are openly available, funding for broad community engagement initiatives, and a mechanism to share and advertise those opportunities. NEON users require both the skills to work with NEON data and the ecological or environmental science domain knowledge to understand and interpret them. This paper synthesizes early directions in the community’s use of NEON data, and opportunities for the next 10 yr of NEON operations in emergent science themes, open science best practices, education and training, and community building

Protemic identification of Germline Proteins in Caenorhabditis elegans

Sexual reproduction involves fusion of 2 haploid gametes to form diploid offspring with genetic contributions from both parents. Gamete formation represents a unique developmental program involving the action of numerous germline-specific proteins. In an attempt to identify novel proteins involved in reproduction and embryonic development, we have carried out a proteomic characterization of the process in Caenorhabditis elegans. To identify candidate proteins, we used 2D gel electrophoresis (2DGE) to compare protein abundance in nucleus-enriched extracts from wild-type C. elegans, and in extracts from mutant worms with greatly reduced gonads (glp-4(bn2) worms reared at 25°C); 84 proteins whose abundance correlated with germline presence were identified. To validate candidates, we used feeding RNAi to deplete candidate proteins, and looked for reduction in fertility and/or germline cytological defects. Of 20 candidates so screened for involvement in fertility, depletion of 13 (65%) caused a significant reduction in fertility, and 6 (30%) resulted in sterility (\u3c5 % of wild-type fertility). Five of the 13 proteins with demonstrated roles in fertility have not previously been implicated in germline function. The high frequency of defects observed after RNAi depletion of candidate proteins suggests that this approach is effective at identifying germline proteins, thus contributing to our understanding of this complex organ