Vascular regeneration in a basal chordate is due to the presence of immobile, bi-functional cells.

The source of tissue turnover during homeostasis or following injury is usually due to proliferation of a small number of resident, lineage-restricted stem cells that have the ability to amplify and differentiate into mature cell types. We are studying vascular regeneration in a chordate model organism, Botryllus schlosseri, and have previously found that following surgical ablation of the extracorporeal vasculature, new tissue will regenerate in a VEGF-dependent process within 48 hrs. Here we use a novel vascular cell lineage tracing methodology to assess regeneration in parabiosed individuals and demonstrate that the source of regenerated vasculature is due to the proliferation of pre-existing vascular resident cells and not a mobile progenitor. We also show that these cells are bi-potential, and can reversibly adopt two fates, that of the newly forming vessels or the differentiated vascular tissue at the terminus of the vasculature, known as ampullae. In addition, we show that pre-existing vascular resident cells differentially express progenitor and differentiated cell markers including the Botryllus homologs of CD133, VEGFR-2, and Cadherin during the regenerative process

Determination of MSSM Parameters from LHC and ILC Observables in a Global Fit

We present the results of a realistic global fit of the Lagrangian parameters of the Minimal Supersymmetric Standard Model assuming universality for the first and second generation and real parameters. No assumptions on the SUSY breaking mechanism are made. The fit is performed using the precision of future mass measurements of superpartners at the LHC and mass and polarized topological cross-section measurements at the ILC. Higher order radiative corrections are accounted for whereever possible to date. Results are obtained for a modified SPS1a MSSM benchmark scenario but they were checked not to depend critically on this assumption. Exploiting a simulated annealing algorithm, a stable result is obtained without any a priori assumptions on the values of the fit parameters. Most of the Lagrangian parameters can be extracted at the percent level or better if theoretical uncertainties are neglected. Neither LHC nor ILC measurements alone will be sufficient to obtain a stable result. The effects of theoretical uncertainties arising from unknown higher-order corrections and parametric uncertainties are examined qualitatively. They appear to be relevant and the result motivates further precision calculations. The obtained parameters at the electroweak scale are used for a fit of the parameters at high energy scales within the bottom-up approach. In this way regularities at these scales are explored and the underlying model can be determined with hardly any theoretical bias. Fits of high-scale parameters to combined LHC+ILC measurements within the mSUGRA framework reveal that even tiny distortions in the low-energy mass spectrum already lead to inacceptable chi^2 values. This does not hold for ``LHC only'' inputs.Comment: 25 pages, 5 figure

Comparative validation of the IPAQ and the 7-Day PAR among women diagnosed with breast cancer

BACKGROUND: The criterion-related validity and measurement bias of the long form of the International Physical Activity Questionnaire (IPAQ) was compared to the 7-Day Physical Activity Recall (PAR). METHODS: Participants were women who have been diagnosed with breast cancer and enrolled in the ongoing Women's Healthy Eating and Living Study. Women (N = 159, average age 57 years) wore an accelerometer for one week and then completed the IPAQ or the PAR. RESULTS: The validity correlation of the PAR was significantly higher (p < 0.001) than the IPAQ (0.73 vs. 0.33, respectively). The PAR and IPAQ overestimated total physical activity by 13% vs. 247%, respectively. The PAR had better sensitivity (p = 0.14) and specificity (p < .01) than the IPAQ (100% vs. 71% and 84% vs. 59%, respectively) in predicting attainment of the ACSM physical activity guideline. CONCLUSION: The PAR was superior to the IPAQ in terms of validity, measurement bias, and screening statistics

Parameters affecting ion intensities in transmission-mode Direct Analysis in Real-Time mass spectrometry

A survey of the effect of temperature, transmission module material and analysis time on ion intensities in transmission mode direct analysis in real time mass spectrometry is presented. Ion intensity profiles obtained for two related compounds are similar when analysed separately but are very different when analysed as a mixture

THE ROLE OF THE THYMUS IN DEVELOPMENT OF IMMUNOLOGIC CAPACITY IN RABBITS AND MICE

In rabbits, complete thymectomy before the age of 5 days produced immunologic deficiency in the adult animals, as indicated by reduced antibody production to bovine serum albumin and bacteriophage T2. Homotransplantation immunity was unaffected, however. In an inbred strain of mice, complete neonatal thymectomy resulted in complete inability of the 60-day-old animals to form antibody to bacteriophage T2. Inbred mice, completely thymectomized at birth, had a deficient homograft response, indicated by acceptance of skin homografts from strains differing in both the weaker and stronger (H-2) histocompatibility antigens. Tumor transplants (mammary adenocarcinoma) were also successful across the H-2 genetic barrier in mice thymectomized at birth. Neonatal thymectomy also eliminated the Eichwald-Silmser phenomenon, rendering female mice capable of accepting isografts of male skin. Transplantation immunity in mice was also affected by later thymectomy, at 30 days of age, in certain strain combinations involving weak histocompatibility differences. Spleen and lymph node cells from mice thymectomized at birth or at 6 days of age, and sacrificed 2 months later, did not produce a graft versus host reaction in appropriate F1 hybrid recipients, indicating that such cells are immunologically inactive. Neonatal thymectomy of F1 hybrid mice, and in one strain combination thymectomy at 40 days of age, produced animals with inordinate susceptibility to runt disease (homologous disease) following injection of parent strain spleen cells 35 days (neonatal surgery) and 10 days (surgery at 40 days) later. Mice thymectomized at birth also showed growth failure and were short-lived. Studies of newborn mice indicated that they have true lymphocytes only in the thymus, and lack such cells in the spleen, lymph nodes, and gut. In normal mice, adult lymphoid structure develops gradually, beginning during the 1st week of life and continuing for the next month. In contrast, mice thymectomized at birth do not develop mature lymphoid structure: the lymph nodes and spleens tend to be small and poorly organized, and show a quantitative deficiency in lymphoid cells. It is our current working hypothesis that the thymus makes a major contribution toward the centrifugal distribution of lymphoid cells which, in turn, is essential to the full expression of immunologic capacity

MetaIPM: Placing Integral Projection Models Into a Metapopulation Framework

1. Metapopulation models include spatial population dynamics such as dispersion and migration between subpopulations. Integral projection models (IPMs) can include demographic rates as a function of size. Traditionally, metapopulation models do not included detailed populaiton models such as IPMs. In some situations, both local population dynamics (e.g. size-based survival) and spatial dynamics are important. 2. We present a Python package, MetaIPM, which places IPMs into a metapopulation framework, and allow users to readily construct and apply these models that combine local population dynamics within a metapopulation framework. 3. MetaIPM includes an IPM for each subpopulation that is connected to other subpopulations via a metapopulation movement model. These movements can include dispersion, migration or other patterns. The IPM can include for size-specific demographic rates (e.g. survival, recruitment) as well as management actions, such as length-based harvest (e.g. gear specific capture sizes, varying slot limits across political boundaries). The model also allows for changes in metapopulation connectivity between locations, such as a fish passage ladders to enhance movement or deterrents to reduce movement. Thus, resource managers can use MetaIPM to compare different management actions such as the harvest gear type (which can be length-specific) and harvest locations. 4. We demonstrate how MetaIPM may be applied to inform managers seeking to limit the spread of an invasive species in a system with important metapopulation dynamics. Specifically, we compared removal lengths (all length fish versus longer fish only) for an invasive fish population in a fragmented, inland river system. MetaIPM allowed users to compare the importance of harvesting source populations away from the invasion front, as well as species at the invasion front. The model would also allow for future comparisons of different deterrent placement locations in the system. 5. Moving beyond our example system, we describe how MetaIPM can be applied to other species, systems and management approaches. The MetaIPM packages includes Jupyter Notebooks documenting the package as well as a second set of JupyterNotebooks showing the application of the package to our example system

Reynolds number influences in aeronautics

Reynolds number, a measure of the ratio of inertia to viscous forces, is a fundamental similarity parameter for fluid flows and therefore, would be expected to have a major influence in aerodynamics and aeronautics. Reynolds number influences are generally large, but monatomic, for attached laminar (continuum) flow; however, laminar flows are easily separated, inducing even stronger, non-monatomic, Reynolds number sensitivities. Probably the strongest Reynolds number influences occur in connection with transitional flow behavior. Transition can take place over a tremendous Reynolds number range, from the order of 20 x 10(exp 3) for 2-D free shear layers up to the order of 100 x 10(exp 6) for hypersonic boundary layers. This variability in transition behavior is especially important for complex configurations where various vehicle and flow field elements can undergo transition at various Reynolds numbers, causing often surprising changes in aerodynamics characteristics over wide ranges in Reynolds number. This is further compounded by the vast parameterization associated with transition, in that any parameter which influences mean viscous flow development (e.g., pressure gradient, flow curvature, wall temperature, Mach number, sweep, roughness, flow chemistry, shock interactions, etc.), and incident disturbance fields (acoustics, vorticity, particulates, temperature spottiness, even electro static discharges) can alter transition locations to first order. The usual method of dealing with the transition problem is to trip the flow in the generally lower Reynolds number wind tunnel to simulate the flight turbulent behavior. However, this is not wholly satisfactory as it results in incorrectly scaled viscous region thicknesses and cannot be utilized at all for applications such as turbine blades and helicopter rotors, nacelles, leading edge and nose regions, and High Altitude Long Endurance and hypersonic airbreathers where the transitional flow is an innately critical portion of the problem

Staged Strategy to Avoid Hospital Surge and Preventable Mortality, while Reducing the Economic Burden of Social Distancing

In order to balance the goals of preventing death from COVID-19 while also minimizing other negative (societal and economic) impacts, it is important to have a clear monitoring strategy that can guide public policy. Such a strategy can be used to help guide the application of the range of non-pharmacological interventions that have been shown to reduce disease transmission and death. Here, we propose a coherent data-driven strategy for triggering both the tightening and relaxation of policies to ensure Measures COVID-19 hospitalizations do not exceed healthcare capacity in cities while minimizing the duration of restrictions on commerce, healthcare, recreation, and schooling. As US states reopen during the COVID-19 pandemic, it is expected that cases will increase. The goal of this strategy is to reduce economic hardship while maintaining access to hospital care for both COVID-19 patients and all other patients and to avoid excess serious complications or death for those with COVID-19 or for those with other medical conditions like cancer or cardiovascular disease, who may not receive timely or safe care if health system overwhelmed by COVID-19. In addition, an overwhelmed health system creates a more dangerous environment for our health care providers who will be more likely to be infected and hence exacerbate health care shortages. It could also seriously compromise the public confidence in their health and safety.Integrative Biolog