High resolution spatial variability in spring snowmelt for an Arctic shrub-tundra watershed

Arctic tundra environments are characterized by spatially heterogeneous end-of-winter snow cover because of high winds that erode, transport and deposit snow over the winter. This spatially variable end-of-winter snow cover subsequently influences the spatial and temporal variability of snowmelt and results in a patchy snowcover over the melt period. Documenting changes in both snow cover area (SCA) and snow water equivalent (SWE) during the spring melt is essential for understanding hydrological systems, but the lack of high-resolution SCA and SWE datasets that accurately capture micro-scale changes are not commonly available, and do not exist for the Canadian Arctic. This study applies high-resolution remote sensing measurements of SCA and SWE using a fixed-wing Unmanned Aerial System (UAS) to document snowcover changes over the snowmelt period for an Arctic tundra headwater catchment. Repeat measurements of SWE and SCA were obtained for four dominant land cover types (tundra, short shrub, tall shrub, and topographic drift) to provide observations of spatially distributed snowmelt patterns and basin-wide declines in SWE. High-resolution analysis of snowcover conditions over the melt reveal a strong relationship between land cover type, snow distribution, and snow ablation rates whereby shallow snowpacks found in tundra and short shrub regions feature rapid declines in SWE and SCA and became snow-free approximately 10 days earlier than deeper snowpacks. In contrast, tall shrub patches and topographic drift regions were characterized by large initial SWE values and featured a slow decline in SCA. Analysis of basin-wide declines in SCA and SWE reveal three distinct melt phases characterized by 1) low melt rates across a large area resulting in a minor change in SCA, but a very large decline in SWE with, 2) high melt rates resulting in drastic declines in both SCA and SWE, and 3) low melt rates over a small portion of the basin, resulting in little change to either SCA or SWE. The ability to capture high-resolution spatio-temporal changes to tundra snow cover furthers our understanding of the relative importance of various land cover types on the snowmelt timing and amount of runoff available to the hydrological system during the spring freshet

Osteosarcomagenesis: Biology, Development, Metastasis, and Mechanisms of Pain

Osteosarcoma is the most common primary cancer of the bone and third most common cancer in children and adolescents with approximately 900 new cases annually in the United States. A major facet of osteosarcoma is its high level of genomic instability, in particular chromosomal instability, which is the result of increased or decreased chromosome number in a cell. Furthermore, pain is the most common symptomatic feature of osteosarcoma that lacks effective therapy. Pain in osteosarcoma is relatively more complicated than many other painful conditions requiring a more thorough understanding of its etiology, pathobiology, and neurobiology to allow the development of better therapies for reducing pain in osteosarcoma patients. Studies are underway to define the diverse modalities of presentation, growth, development, metastases, and nociception in osteosarcoma. New data from human studies in combination with data from studies incorporating transgenic mouse models of osteosarcoma are providing valuable insights into the mechanisms underlying the development of both the tumor and the tumor-induced pain. These new data will undoubtedly lead to improved prognoses, as well as the development of novel therapeutics that will significantly decrease bone cancer pain

Defining user perception of distributed multimedia quality

This article presents the results of a study that explored the human side of the multimedia experience. We propose a model that assesses quality variation from three distinct levels: the network, the media and the content levels; and from two views: the technical and the user perspective. By facilitating parameter variation at each of the quality levels and from each of the perspectives, we were able to examine their impact on user quality perception. Results show that a significant reduction in frame rate does not proportionally reduce the user's understanding of the presentation independent of technical parameters, that multimedia content type significantly impacts user information assimilation, user level of enjoyment, and user perception of quality, and that the device display type impacts user information assimilation and user perception of quality. Finally, to ensure the transfer of information, low-level abstraction (network-level) parameters, such as delay and jitter, should be adapted; to maintain the user's level of enjoyment, high-level abstraction quality parameters (content-level), such as the appropriate use of display screens, should be adapted

Naval Expeditionary Readiness Model

Naval expeditionary forces lack the ability to adequately estimate the level of spending required to achieve a minimum level of readiness. Currently the Navy Expeditionary Combat Enterprise (NECE) Capability Costing Model (NCCM) forecasts requirements using Excel Solver and data from the Optimized Fleet Response Plan (OFRP) and Certified Obligation Reports. To explore methods of improving requirement forecasts, this research limits its focus to one program, Explosive Ordinance Disposal (EOD), one component, active duty, and one training and testing data split. It then attempts multiple forecasting methods over multiple levels of cost aggregation. These forecasting methods include Exponential Smoothing, Autoregressive Integrated Moving Averages (ARIMA), and dynamic regression models. The analysis then evaluates models made with those methods using the accuracy measures of absolute error (MAE), mean absolute percentage error (MAPE), and mean absolute scaled error (MASE). It also attempts hierarchical models to forecast costs and evaluates those models in the same way. Finally, it calculates forecasts for two years in the future and compares those forecasts to actual costs. This final calculation mimics the process required in the Program Objective Memorandum (POM) process. This technical report finds that the various models forecast at different levels of accuracy across different levels of cost aggregation. The most accurate model to forecast total EOD costs two years in the future is an ARIMA model. It possesses a 10 percent delta in its forecast. The best aggregated model is an exponential smoothing model for the Budget Submitting Office (BSO) 60 and the warfare pillars of personnel (P) and training (T). Its delta is three percent. However, some levels of aggregation are much worse, with the best model possessing a delta of 36 percent for BSO 70 for supply (S) and equipment (E) costs. This technical report ends with several recommendations for future research.Approved for public release; distribution is unlimited.Naval Postgraduate School, Naval Research Program (PE 0605853N/2098)Naval Postgraduate School, Naval Research Program, Monterey, CA Integration of Capabilities and Resources (N81). Service Integration and Policy, Washington, D

Some Fundamental Properties of a Multivariate von Mises Distribution

In application areas like bioinformatics multivariate distributions on angles are encountered which show significant clustering. One approach to statistical modelling of such situations is to use mixtures of unimodal distributions. In the literature (Mardia et al., 2011), the multivariate von Mises distribution, also known as the multivariate sine distribution, has been suggested for components of such models, but work in the area has been hampered by the fact that no good criteria for the von Mises distribution to be unimodal were available. In this article we study the question about when a multivariate von Mises distribution is unimodal. We give sufficient criteria for this to be the case and show examples of distributions with multiple modes when these criteria are violated. In addition, we propose a method to generate samples from the von Mises distribution in the case of high concentration.Comment: fixed a typo in the article title, minor fixes throughou

Intermediate progenitors support migration of neural stem cells into dentate gyrus outer neurogenic niches.

The hippocampal dentate gyrus (DG) is a unique brain region maintaining neural stem cells (NCSs) and neurogenesis into adulthood. We used multiphoton imaging to visualize genetically defined progenitor subpopulations in live slices across key stages of mouse DG development, testing decades old static models of DG formation with molecular identification, genetic-lineage tracing, and mutant analyses. We found novel progenitor migrations, timings, dynamic cell-cell interactions, signaling activities, and routes underlie mosaic DG formation. Intermediate progenitors (IPs, Tbr2+) pioneered migrations, supporting and guiding later emigrating NSCs (Sox9+) through multiple transient zones prior to converging at the nascent outer adult niche in a dynamic settling process, generating all prenatal and postnatal granule neurons in defined spatiotemporal order. IPs (Dll1+) extensively targeted contacts to mitotic NSCs (Notch active), revealing a substrate for cell-cell contact support during migrations, a developmental feature maintained in adults. Mouse DG formation shares conserved features of human neocortical expansion

Activation of Wnt/β-Catenin Signalling Affects Differentiation of Cells Arising from the Cerebellar Ventricular Zone

Development of the cerebellum proceeds under the precise spatio-temporal control of several key developmental signalling pathways, including the Wnt/β-catenin pathway. We recently reported the activity of Wnt/β-catenin signalling in the perinatal cerebellar ventricular zone (VZ), a germinal centre in the developing cerebellum that gives rise to GABAergic and glial cells. In order to investigate the normal function of Wnt/β-catenin signalling in the VZ and the cell lineages it gives rise to, we used a combination of ex vivo cerebellar slice culture and in vivo genetic manipulation to dysregulate its activity during late embryonic development. Activation of the pathway at the cerebellar ventricular zone led to a reduction in the number of cells expressing the glial lineage markers Sox9 and GFAP and the interneuron marker Pax2, but had no consistent effect on either proliferation or apoptosis. Our findings suggest that activation of the Wnt/β-catenin pathway in the cerebellar ventricular zone causes a shift in the cell types produced, most likely due to disruption of normal differentiation. Thus, we propose that regulation of Wnt/β-catenin signalling levels are required for normal development of cells arising from the cerebellar ventricular zone during late embryogenesis