Wireless Software Synchronization of Multiple Distributed Cameras

We present a method for precisely time-synchronizing the capture of image sequences from a collection of smartphone cameras connected over WiFi. Our method is entirely software-based, has only modest hardware requirements, and achieves an accuracy of less than 250 microseconds on unmodified commodity hardware. It does not use image content and synchronizes cameras prior to capture. The algorithm operates in two stages. In the first stage, we designate one device as the leader and synchronize each client device's clock to it by estimating network delay. Once clocks are synchronized, the second stage initiates continuous image streaming, estimates the relative phase of image timestamps between each client and the leader, and shifts the streams into alignment. We quantitatively validate our results on a multi-camera rig imaging a high-precision LED array and qualitatively demonstrate significant improvements to multi-view stereo depth estimation and stitching of dynamic scenes. We release as open source 'libsoftwaresync', an Android implementation of our system, to inspire new types of collective capture applications.Comment: Main: 9 pages, 10 figures. Supplemental: 3 pages, 5 figure

A Time-driven Data Placement Strategy for a Scientific Workflow Combining Edge Computing and Cloud Computing

Compared to traditional distributed computing environments such as grids, cloud computing provides a more cost-effective way to deploy scientific workflows. Each task of a scientific workflow requires several large datasets that are located in different datacenters from the cloud computing environment, resulting in serious data transmission delays. Edge computing reduces the data transmission delays and supports the fixed storing manner for scientific workflow private datasets, but there is a bottleneck in its storage capacity. It is a challenge to combine the advantages of both edge computing and cloud computing to rationalize the data placement of scientific workflow, and optimize the data transmission time across different datacenters. Traditional data placement strategies maintain load balancing with a given number of datacenters, which results in a large data transmission time. In this study, a self-adaptive discrete particle swarm optimization algorithm with genetic algorithm operators (GA-DPSO) was proposed to optimize the data transmission time when placing data for a scientific workflow. This approach considered the characteristics of data placement combining edge computing and cloud computing. In addition, it considered the impact factors impacting transmission delay, such as the band-width between datacenters, the number of edge datacenters, and the storage capacity of edge datacenters. The crossover operator and mutation operator of the genetic algorithm were adopted to avoid the premature convergence of the traditional particle swarm optimization algorithm, which enhanced the diversity of population evolution and effectively reduced the data transmission time. The experimental results show that the data placement strategy based on GA-DPSO can effectively reduce the data transmission time during workflow execution combining edge computing and cloud computing

The Spitzer c2d Survey Of Nearby Dense Cores. VII. Chemistry And Dynamics In L43

We present results from the Spitzer Space Telescope and molecular line observations of nine species toward the dark cloud L43. The Spitzer images and molecular line maps suggest that it has a starless core and a Class I protostar evolving in the same environment. CO depletion is seen in both sources, and DCO(+) lines are stronger toward the starless core. With a goal of testing the chemical characteristics from pre- to protostellar stages, we adopt an evolutionary chemical model to calculate the molecular abundances and compare with our observations. Among the different model parameters we tested, the best-fit model suggests a longer total timescale at the pre-protostellar stage, but with faster evolution at the later steps with higher densities.NSF AST-0307250, AST0607793NASA NNX07AJ72GNational Research Foundation of Korea (NRF) government (MEST) 2009-0062865KOSEF R012007- 000-20336-0Astronom

Racial Differences of Pediatric Hypertension in Relation to Birth Weight and Body Size in the United States.

BackgroundThe prevalence of hypertension is known to differ by racial group in adults in the United States (US), but findings in children are scarce and inconsistent. The objective of this study was to assess the racial differences in pediatric hypertension and to explore whether these differences, if any, can be explained by low birth weight (LBW) and obesity.MethodsAnalyses were performed for participants aged 8-17 years (N = 9,250) included in the 1999-2010 National Health and Nutrition Examination Survey. Multivariate logistic regressions and weighted analysis were carried out considering the complex survey design.ResultsCompared to non-Hispanic White youth, the crude prevalence of hypertension was significantly higher in non-Hispanic Blacks (7.1% vs. 5.6%; P = 0.04), but not in Mexican Americans (5.4% vs. 5.6%; P = 0.77). Blacks also had higher rates of LBW (14.6% vs. 5.9%; P <0.001) and obesity (22.9% vs. 15.8%; P <0.001) than Whites. In stratified analysis by age-sex groups, the Black-White difference in hypertension prevalence was only significant in boys aged 13-17 (9.6% vs. 6.6%). After controlling for age, Black boys had a 51% higher odds of having hypertension (Odds ratio = 1.51; 95% confidence interval: 1.03, 3.43; P = 0.04) compared to White youth at ages 13-17. This racial difference persisted with additional adjustment for birth weight (odds ratio (OR) = 2.00; P = 0.02) and for current body mass index (OR = 1.50; P = 0.04). Mexican American youth had no difference in hypertension prevalence as compared to White youth after adjusting for age, sex, birth weight and obesity (Odds ratio = 0.82; P = 0.16) and in age-sex stratified subgroups.ConclusionsNon-Hispanic Black adolescent boys have a significantly higher hypertension rate than their non-Hispanic White counterparts in the US. This racial difference cannot be explained by LBW and current obesity status within the Black population

Using Robotics to Equip K-12 Teachers: Silicon Prairie Initiative for Robotics in Information Technology (SPIRIT)

The Silicon Prairie Initiative for Robotics in Information Technology (SPIRIT) is a unique collaborative effort between the University of Nebraska-Lincoln (UNL) College of Engineering, the University of Nebraska at Omaha (UNO) College of Education, and the local Omaha Public Schools (OPS) system. With funding from an NSF ITEST grant, from 2006 – 2008 the initiative recruited and trained 97 math and science middle school teachers through summer workshops and follow-up sessions during the school year, with the goal of equipping teachers in hands-on engineering design principles and providing curriculum development support for STEM instruction. The centerpiece of the training was the university-level TekBot® educational robotics platform developed at Oregon State University, later replaced by the CEENBoT™ mobile robotics platform developed at UNL in the Computer and Electronics Engineering (CEEN) department. More than 9,000 students are expected to eventually participate in this model through in-school and summer programs developed by SPIRIT-trained teachers 1

Multi-Segment Direct Inject nano-ESI-LTQ-FT-ICR-MS/MS For Protein Identification

Reversed phase high performance liquid chromatography (HPLC) interfaced to electrospray tandem mass spectrometry (MS/MS) is commonly used for the identification of peptides from proteolytically cleaved proteins embedded in a polyacrylamide gel matrix as well as for metabolomics screening. HPLC separations are time consuming (30-60 min average), costly (columns and mobile phase reagents), and carry the risk of column carry over between samples. The use of a chip-based nano-ESI platform (Advion NanoMate) based on replaceable nano-tips for sample introduction eliminates sample cross-contamination, provides unchanging sample matrix, and enhances spray stability with attendant increases in reproducibility. Recent papers have established direct infusion nano-ESI-MS/MS utilizing the NanoMate for protein identification of gel spots based on full range MS scans with data dependent MS/MS. In a full range scan, discontinuous ion suppression due to sample matrix can impair identification of putative mass features of interest in both the proteomic and metabolomic workflows. In the current study, an extension of an established direct inject nano-ESI-MS/MS method is described that utilizes the mass filtering capability of an ion-trap for ion packet separation into four narrow mass ranges (50 amu overlap) with segment specific dynamic data dependent peak inclusion for MS/MS fragmentation (total acquisition time of 3 minutes). Comparison of this method with a more traditional nanoLC-MS/MS based protocol utilizing solvent/sample stream splitting to achieve nanoflow demonstrated comparable results for protein identification from polyacrylamide gel matrices. The advantages of this method include full automation, lack of cross-contamination, low cost, and high throughput

Utilization of Microgravity Bioreactor for Differentiation and Growth of Human Vascular Endothelial Cells

The goal was to delineate mechanisms of genetic responses to angiogenic stimulation of human coronary arterial and dermal microvascular endothelial cells during exposure to microgravity. The NASA-designed rotating-wall vessel was used to create a three-dimensional culture environment with low shear-stress and microgravity simulating that in space. The primary specific aim was to determine whether simulated microgravity enhances endothelial cell growth and whether the growth enhancement is associated by augmented expression of Basic Fibroblast Growth Factor (BFGF) and c-fos, an immediate early gene and component of the transcription factor AP-1

Low Bone Turnover in Chronic Kidney Disease is associated with decreased VEGF-A expression and osteoblast differentiation

Background: Low turnover bone (low bone formation rates (BFRs)) with decreased osteoblast number is common in patients with chronic kidney disease (CKD) and attributed to ‘over-suppression' of the parathyroid hormone (PTH) despite supra-physiologic levels. An alternative hypothesis is abnormal osteoblast differentiation, resulting in low BFRs due to reduced VEGF-A. Methods: We analyzed the expression of VEGF-A and mesenchymal stem cell (MSC) differentiation factors in freshly isolated bone marrow (BM) cells, and in BM cell-derived MSC in rats with different levels of BFRs and PTH (modulated by calcium and zoledronic acid). The regulators of VEGF in MSC were also determined. Results: VEGF-A expression was reduced in the BM cells from CKD vs. normal animals (p < 0.02). In BM-derived MSC from CKD, there were decreased osteoblast transcription factors and mineralization. In CKD animals, the BM VEGF-A expression was positively correlated with BFR (r = 0.80, p < 0.001). Reducing BFRs in CKD animals led to reductions in VEGF-A expression and osteoblast transcription factors regardless of the PTH level. We therefore examined other regulators of VEGF-A and found decreased expression of hypoxia-inducible factor-1α and the master transcription factor of antioxidants nuclear factor (erythroid-derived 2)-like 2 in CKD animals with low PTH. Conclusion: Low BFRs in CKD are associated with a basal decrease in VEGF-A expression in BM that may be driven by altered hypoxia and oxidative stress

Verapamil inhibits calcification and matrix vesicle activity of bovine vascular smooth muscle cells

Calcium channel activity in vascular smooth muscle cells is a critical component during vascular calcification and formation of matrix vesicles. Here, we examined whether the blockade of L-type calcium channels inhibits these functions. Bovine vascular smooth muscle cells or rat aorta organ cultures were incubated in media known to promote calcification and treated with the L-type calcium channel inhibitors verapamil, nifedipine, or nimodipine. The phenylalkylamine, verapamil, significantly decreased calcification of the vascular smooth muscle cells and rat aorta, in a dose-dependent manner, whereas the dihydropyridines, nifedipine and nimodipine, had no effect. Furthermore, verapamil, but not nifedipine, significantly decreased the alkaline phosphatase activity of bovine vascular smooth muscle cells. Verapamil pretreatment of the cells also inhibited matrix vesicle alkaline phosphatase activity and reduced the ability of these matrix vesicles to subsequently calcify on a type I collagen extracellular matrix scaffold. As L-type channels are blocked by verapamil and dihydropyridines, we suggest that verapamil inhibits vascular smooth muscle mineralization and matrix vesicle activity by mechanisms other than the simple blockade of this calcium channel activity

Matrix vesicles induce calcification of recipient vascular smooth muscle cells through multiple signaling pathways

In patients with chronic kidney and end-stage renal diseases, the major risk factor for progression of arterial calcification is the presence of existing (baseline) calcification. Here, we tested whether calcification of arteries is extended from calcified vascular smooth muscle cells (VSMCs) to adjacent normal cells by matrix vesicle–induced alteration of cell signaling. Matrix vesicles isolated from VSMC of rats with chronic kidney disease were co-cultured with VSMCs from normal littermates. Endocytosis of vesicles by recipient cells was confirmed by confocal microscopy. The addition of cellular matrix vesicles with characteristics of exosomes and low fetuin-A content enhanced the calcification of recipient VSMC. Further, only cellular-derived matrix vesicles induced an increase in intracellular calcium ion concentration, NOX1 (NADPH oxidase) and the anti-oxidant superoxide dismutase-2 in recipient normal VSMC. The increase in intracellular calcium ion concentration was due to release from endoplasmic reticulum and partially attributed to the activation of both NOX1 and mitogen-activated protein kinase (MEK1 and Erk1/2) signaling, since inhibiting both pathways blocked the increase in intracellular calcium ion in recipient VSMC. In contrast, matrix vesicles isolated from the media had no effect on the intracellular calcium ion concentration or MEK1 signaling, and did not induce calcification. However, media matrix vesicles did increase Erk1/2, although not to the level of cellular matrix vesicles, and NOX1 expression. Blockade of NOX activity further inhibited the cellular matrix vesicle–induced accelerated calcification of recipient VSMC, suggesting a potential therapeutic role of such inhibition. Thus, addition of cellular-derived matrix vesicles from calcifying VSMC can accelerate calcification by inducing cell signaling changes and phenotypic alteration of recipient VSMC