Recently, market-oriented grid resource management has been proposed to cope with the scarceness of grid resources in grid systems. In the market-oriented environment, grid users should pay resource owners a sum of money for resources consumed. However, the contribution of resources owners is not only offering resources for grid applications, but also for the loss of local task execution for the sake of grid task complement punctually. There is little research to address the problem of compensation for opportunities lose of local task in grid resources. As a result, resource owners may be reluctant to join the grid unless some compensation is paid. In this paper, based on the analysis of the expected income of two priority strategies in grid resources, the minimal compensation which grid users should pay to resources owners is determined using the concept of opportunity cost and a variable price model is presented to ensure a fair market environment. To calculate minimal compensation, an evaluation approach based on Monte Carlo simulation is given and the minimal compensation can be determined according to the characteristics of the grid resource and the deadline of the grid task. Based on the simulation results, the infl uence factors of minimal compensation are studied using a numerical example. The proposed price model can provide an incentive for resource owners and attract more and more resources in the Internet to participate in the grid.
PL
Ostatnio ideę prorynkowego zarządzania zasobami gridowymi proponuje się jako sposób na uporanie się z niedostatkiem zasobów gridowych w systemach sieci typu grid. W środowisku prorynkowym, użytkownicy sieci grid powinni płacić właścicielom zasobów pewną sumę pieniędzy za wykorzystane zasoby. Jednakże, należy pamiętać, że właściciele zasobów nie tylko oferują zasoby dla aplikacji gridowych, ale również muszą rezygnować z wykonania lokalnych zadań na rzecz terminowego dostarczenia zasobów do wykonania zadania gridowego. Istnieje niewiele badań zajmujących się problemem rekompensaty za utratę korzyści z zadania lokalnego na zasobach gridowych. W związku z istnieniem tego problemu posiadacze zasobów mogą nie chcieć przyłączać się do sieci gridowej, o ile nie otrzymają pewnej rekompensaty. W niniejszym artykule wyznaczono minimalną rekompensatę, jaką użytkownicy sieci gridowej winni płacić posiadaczom zasobów. Obliczeń dokonano w oparciu o analizę oczekiwanego dochodu w odniesieniu do dwóch strategii szeregowania zadań w zasobach gridowych oraz wykorzystując pojęcie kosztu alternatywnego (opportunity cost). Aby zagwarantować uczciwe warunki rynkowe, przedstawiono również model zmiennej ceny (variable price model). Do obliczenia rekompensaty minimalnej wykorzystano podejście oparte na symulacji Monte Carlo. Rekompensatę minimalną wyznacza się kierując się charakterystykami zasobu gridowego i terminem wykonania zadania gridowego. W oparciu o wyniki symulacji, przeanalizowano czynniki wpływające na rekompensatę minimalną wykorzystując przykład numeryczny. Proponowany model cenowy może stać się motywacją dla posiadaczy zasobów przyciągając coraz więcej zasobów internetowych do uczestnictwa w sieciach gridowych.
Biofilters are a potential treatment option for removing pollutants from feedlot runoff but little research has been done on their use and design. In this study, two mechanism -based models were developed to simulate biofilter processes: a first-order model and a logistic model. The two models were calibrated and evaluated using nitrogen (N) and phosphorus (P) data collected from rainfall events for an experimental biofilter at Melrose, Minnesota, USA. The first-order model predicted removal efficiencies better than the logistic model. The sensitivity analysis suggested that the predictions of the first-order model are more sensitive to parameter. In addition, the uncertainty analysis suggested that the range in predictive errors could be a consequence of uncertainty of estimating parameter from the limited data set for the first-order model. In contrast, the uncertainty analysis for the logistic model of N suggested that reasons other than the uncertainty in parameter estimation are needed to explain predictive errors. Overall, the study provides a useful tool for assessing biofilter performance that can easily be improved with larger observed data sets. The biofilter model has been implemented in the most recent version of the Minnesota feedlot annualized runoff model (MinnFARM).
Background. Lactobacillus acidophilus has become increasingly popular because of their beneficial effects on health of their host, and are called proboscis. In order to exert beneficial effects for probiotics, they must be able to tolerate the acidic conditions of the stomach environment and the bile in the small intestine. Micro- encapsulated form has received reasonable attention, since it can protect probiotic organisms against an unfavourable environment, and to allow their release in a viable and metabolically active state in the intestine. The aim of this study was to investigate some factores, such as chitosan solution pH and concentration, xanthan concentration, cell suspension-xanthan ratio, mixed bacteria glue liquid-chitosan ratio, which impacted the process of microencapsulation of L. acidophilus. Material and methods. In this study, L. acidophilus was immobilized with xanthanthitosan gel using extrusion method. The viable counts and encapsulation yield of L. acidophilus encapsulated in different chitosan solution pH (4.5, 5, 5.5 and 6), in different chitosan concentration (0.5%, 0.7%, 0.9% and 1.1%), in different xanthan concentration (0.5%, 0.7%, 0.9% and 1.1%), in different cell suspension-xanthan ratios (1:5, 1:10, 1:15 and 1:20), in different mixed bacteria glue liquid-chitosan ratios (1:3,1:4,1:5 and 1:6), have been investigated by single factor experiment method. Results. The optimum conditions of microencapsulated L. acidophilus have been observed. The optimum chitosan solution pH for L. acidophilus was 5.5; the optimum chitosan concentration was 0.9%; the optimum xanthan concentration was 0.7%; the optimum cell suspension-xanthan ratio was 1:10; the optimum mixed bacteria glue liquid-chitosan ratio was 1:3. Conclusions. These results will be helpful to further optimize the process of L. acidophilus microencapsulation, and provide reference for obtaining higher viable counts and entrapped yield of L. acidophilus microcapsules.
The calcium-activated neutral proteases, μ- and m-calpain, along with their inhibitor, calpastatin, have been demonstrated to mediate a variety of Ca2+-dependent processes including signal transduction, cell proliferation, cell cycle progression, differentiation, apoptosis, membrane fusion, platelet activation and skeletal muscle protein degradation. The cDNA coding for yak calpastatin was amplified and cloned by RT-PCR to investigate and characterize the nucleotide/amino-acid sequence and to predict structure and function of the calpastatin. The present study suggests that the yak calpastatin gene encodes a protein of 786 amino acids that shares 99 % sequence identity with the amino-acid sequence of cattle calpastatin, and that the yak protein is composed of an N-terminal region (domains L and XL) and four repetitive homologous C-terminal domains (d1–d4), in which several prosite motifs are present including short peptide L54–64 (EVKPKEHTEPK in domain L) and GXXE/ DXTIPPXYR (in subdomain B), where X is a variable amino acid. Our results suggest the existence of other functional sites including potential phosphorylation sites for protein kinase C, cAMP- and cGMP-dependent protein kinase, casein kinase II, as well as N-myristoylation and amidation sites that play an important role in molecular regulation of the calpain/calpastatin system. The regulation of the calpain/calpastatin system is determined by the interaction between dIV and dVI in calpains and subdomains A, B, and C in calpastatin.
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