Role of Sediment Resuspension on Estuarine Suspended Particulate Mercury Dynamics

Coastal sediments are an important site for transient and long-term mercury (Hg) storage, and they foster a geochemical environment optimal for Hg methylation. Therefore, efforts have been taken to constrain the role of sediments as a source of methylmercury (MeHg) to the estuarine water column. This study employed the Gust Microcosm Erosion Core system capable of quantifying particle removal from undisturbed cores under measurable shear stress conditions to assess particulate Hg and MeHg exchange between sediments and the water column. Samples were collected from organic-rich and organic-poor sediment types from the mid- and lower Delaware Bay. It was found that bulk sediment samples from organic-rich systems overpredict total Hg and MeHg release to the water column, whereas organic-poor sediments underpredict the exchange. In general, organic-rich sediments in shallow environments have the most impact on surface particle dynamics. There is little evidence to suggest that MeHg formed in the sediments is released to the water column via particulate exchange, and therefore, nonsedimentary sources likely control MeHg levels in this estuarine water column

Extending Linear System Models to Characterize the Performance Bounds of a Fixating Active Vision System

If active vision systems are to be used reliably in practical applications, it is crucial to understand their limits and failure modes. In the work presented here, we derive, theoretically and experimentally, bounds on the performance of an active vision system in a fixation task. In particular, we characterize the tracking limits that are imposed by the finite field of view. Two classes of target motion are examined: sinusoidal motions, representative for targets moving with high turning rates, and constant-velocity motions, exemplary for slowly varying target movements. For each class of motion, we identify a linear model of the fixating system from measurements on a real active vision system and analyze the range of target motions that can be handled with a given field of view. To illustrate the utility of such performance bounds, we sketch how the tracking performance can be maximized by dynamically adapting optical parameters of the system to the characteristics of the target motion. The originality of our work arises from combining the theoretical analysis of a complete active vision system with rigorous performance measurements on the real system. We generate repeatable and controllable target motions with the help of two robot manipulators and measure the real-time performance of the system. The experimental results are used to verify or identify a linear model of the active vision system. A major difference to related work lies in analyzing the limits of the linear models that we develop. Active vision systems have been modeled as linear systems many times before, but the performance limits at which the models break down and the system loses its target have not attracted much attention so far. With our work we hope to demonstrate how the knowledge of such limits can be used to actually extend the performance of an active vision system

Subsidized School Meal Programs: Examining Access, Nutritional Quality, and Improvement Initiatives in Vermont Schools

The aim of this research is to examine subsidized school meal programs, specifically the National School Lunch Program (NSLP) and the School Breakfast Program (SBP) as served in participating Vermont schools and alternative childcare institutions. The research focuses on identifying ways in which Vermont schools and childcare institutions choose to administer subsidized school meal programs in order to meet the federal guidelines for school nutrition. The study gains additional purpose due to the autonomy given to states to design and administer school meal programs, with actual food purchasing and meal planning done at the school district level. This breakdown of jurisdiction regarding foods served to American schoolchildren dictates an investigation into how schools differ in what they serve in their respective cafeterias despite being held to the same federal standards. I utilize two forms of quantitative analysis to gather information concerning the operation of school meal programs in Vermont: (1) a survey of school food service directors based on a similar survey used in the National School Dietary Assessment Study-IV published in 2010 and (2) digital photographs taken of lunches in six Vermont schools that participate in NSLP. The study is meant to highlight the use of resources available to schools to improve nutritional value of subsidized school meals in an effort to delineate further areas for continued research in improving the quality and access to school meals. Evaluation of the survey and photographic data shows patterns in food sources, employed menu-planning resources and issues that food service personnel face on the local level resulting from state and federal expectations. Although moving in the right direction, the trends in school meal program administration at state and local levels prove the need for continual improvement and development at the federal level to verify the enduring quality of food served in all schools

Regularization and model selection in the context of density estimation

We propose a new information theoretically based optimization criterion for the estimation of mixture density models and compare it with other methods based on maximum likelihood and maximum a posterio estimation. For the optimization, we employ an evolutionary algorithm which estimates both structure and parameters of the model. Experimental results show that the chosen approach compares favourably with other methods for estimation problems with few sample data as well as for problems where the underlying density is non-stationary

Regularization and Model Selection in the Context of Density Estimation

We propose a new information theoretically based optimization criterion for the estimation of mixture density models and compare it with other methods based on maximum likelihood and maximum a posterio estimation. For the optimization, we employ an evolutionary algorithm which estimates both structure and parameters of the model. Experimental results show that the chosen approach compares favourably with other methods for estimation problems with few sample data as well as for problems where the underlying density is non-stationary

Differences in activity-related behaviour among patients with chronic low back pain

The aim of the present study was to compare the subjectively reported and objectively assessed activity-related characteristics of patients with Chronic Low Back Pain (CLBP) who were classified according to their scores on the Patterns of Activity Measure-Pain (POAM-P) into avoiders, persisters, mixed performers (i.e. high scores on both avoidance and persistence behaviour) or functional performers (i.e. low scores on avoidance and persistence behaviour). Patients carried an electronic diary during 14 days to assess the self-reported activity and pain intensity levels in daily life. An accelerometer was used to objectively assess their activity level during the same time period. Results were available for 79 patients. Avoiders, persisters and mixed performers showed a higher level of self-reported disability than functional performers. Avoiders were characterized by a low level of self-reported habitual activities and persisters by long objectively measured daily uptime. The objectively assessed level of physical activity did not differ between the four groups. A further analysis tested the association between pain intensity levels and self-reported and objectively assessed daily life activity levels in avoiders and persisters. In persisters, a higher level of self-reported activities in daily life was related to increased pain. The objectively assessed activity level was not associated with pain intensity

Different selectivities of oxidants during oxidation of methionine residues in the α-1-proteinase inhibitor

AbstractOxidation of the reactive site methionine (Met) in α-1-proteinase inhibitor (α-1-PI) to methionine sulfoxide (Met(O)) is known to cause depletion of its elastase inhibitory activity. To estimate the selectivity of different oxidants in converting Met to Met(O) in α-1-PI, we measured the molar ratio Met(O)/α-1-PI at total inactivation. This ratio was determined to be 1.2 for both the myeloperoxidase/H2O2/chloride system and the related compound NH2Cl. With taurine monochloramine, another myeloperoxidase-related oxidant, 1.05 mol Met(O) were generated per mol α-1-PI during inactivation. These oxidants attack preferentially one Met residue in α-1-PI, which is identical with Met 358, as concluded from the parallelism of loss of elastase inhibitory activity and oxidation of Met. A similar high specificity for Met oxidation was determined for the xanthine oxidase-derived oxidants. In contrast, the ratio found for ozone and m-chloroperoxybenzoic acid was 6.0 and 5.0, respectively, indicating oxidation of additional Met residues besides the reactive site Met in α-1-PI, i.e. unselective action of these oxidants. Further studies were performed on the efficiency of oxidants for total depletion of the elastase inhibitory capacity of α-1-PI. Ozone and m-chloroperoxybenzoic acid were 10-fold less effective and the superoxide anion/hydroxyl radicals were 30–50-fold less effective to inactivate the elastase inhibitory activity as compared to the myeloperoxidase-derived oxidants. The myeloperoxidase-related oxidants are discussed as important regulators of α-1-PI activity in vivo

Physiological hypoxia restrains the senescence-associated secretory phenotype via AMPK-mediated mTOR suppression

Cellular senescence is a state of stable proliferative arrest triggered by damaging signals. Senescent cells persist during aging and promote age-related pathologies via the pro-inflammatory senescence-associated secretory phenotype (SASP), whose regulation depends on environmental factors. In vivo, a major environmental variable is oxygenation, which varies among and within tissues. Here, we demonstrate that senescent cells express lower levels of detrimental pro-inflammatory SASP factors in physiologically hypoxic environments, as measured in culture and in tissues. Mechanistically, exposure of senescent cells to low-oxygen conditions leads to AMPK activation and AMPK-mediated suppression of the mTOR-NF-kappa B signaling loop. Finally, we demonstrate that treatment with hypoxia-mimetic compounds reduces SASP in cells and tissues and improves strength in chemotherapy-treated and aged mice. Our findings highlight the importance of oxygen as a determinant for pro-inflammatory SASP expression and offer a potential new strategy to reduce detrimental paracrine effects of senescent cells

Blocking Complement Factor B Activation Reduces Renal Injury and Inflammation in a Rat Brain Death Model

Introduction: The majority of kidneys used for transplantation are retrieved from brain-dead organ donors. In brain death, the irreversible loss of brain functions results in hemodynamic instability, hormonal changes and immunological activation. Recently, brain death has been shown to cause activation of the complement system, which is adversely associated with renal allograft outcome in recipients. Modulation of the complement system in the brain-dead donor might be a promising strategy to improve organ quality before transplantation. This study investigated the effect of an inhibitory antibody against complement factor B on brain death-induced renal inflammation and injury. Method: Brain death was induced in male Fischer rats by inflating a balloon catheter in the epidural space. Anti-factor B (anti-FB) or saline was administered intravenously 20 min before the induction of brain death (n = 8/group). Sham-operated rats served as controls (n = 4). After 4 h of brain death, renal function, renal injury, and inflammation were assessed. Results: Pretreatment with anti-FB resulted in significantly less systemic and local complement activation than in saline-treated rats after brain death. Moreover, anti-FB treatment preserved renal function, reflected by significantly reduced serum creatinine levels compared to saline-treated rats after 4 h of brain death. Furthermore, anti-FB significantly attenuated histological injury, as seen by reduced tubular injury scores, lower renal gene expression levels (>75%) and renal deposition of kidney injury marker-1. In addition, anti-FB treatment significantly prevented renal macrophage influx and reduced systemic IL-6 levels compared to saline-treated rats after brain death. Lastly, renal gene expression of IL-6, MCP-1, and VCAM-1 were significantly reduced in rats treated with anti-FB. Conclusion: This study shows that donor pretreatment with anti-FB preserved renal function, reduced renal damage and inflammation prior to transplantation. Therefore, inhibition of factor B in organ donors might be a promising strategy to reduce brain death-induced renal injury and inflammation.Nephrolog