1,527 research outputs found

    Mahgoub Deterioration Method and its Application in Solving Duo-combination of Nonlinear PDE’s

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    This paper aims to solve Duo-combination of non linear partial differential equations by a latest approach called Mahgoub deterioration method (MDM). The latest technique is mix of the Mahgoub transform furthermore the, Adomian deterioration method. The generalized solution has been proved. Mahgoub deterioration method (MDM) is a very successful tool for finding the correct solution of linear and non linear partial differential equations. The continuance and uniqueness of solution is based on MDM

    An Investigation of Size-Dependent Concentration of Trace Elements in Aerosols Emitted from the Oil-Fired Heating Plants

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    Aerosols emitted from two oil-fired heating plants were aerodynamically separated into eight size groups and were analyzed using the photon-induced X-ray emission (PIXE) technique. It was found that Zn, Mo, Ag, and Pb, and (to a lesser extent) Cd, have a tendency to concentrate preferentially on the smaller aerosols. All of these elements, in certain chemical forms, are known to be toxic. Zinc and molybdenum, although present in low concentrations in the parent fuels, show the strongest tendencies to be concentrated in finer aerosols. Selenium, previously reported to show a very strong tendency to concentration in finer fly ash from coal-fired power plants shows little preference for surface residence. Vanadium, which occurs in significant concentration in the oil fuels for both plants, also shows little preference for surface concentration. Even though the absolute concentrations of the toxic elements involved are well below the safety levels established by the National Institute for Occupational Safety and Health (NIOSH), it would be advisable to raise the heights of the heating-plant exhaust chimneys well above the neighborhood buildings to insure more efficient aerosol dispersal

    PHYSICAL MUTAGENESIS BASED STRAIN IMPROVEMENT OF ASPERGILLUS SP. FOR ENHANCED PRODUCTION OF LOVASTATIN

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    Objective: The present investigation aimed towards the strain improvement of lovastatin maximum yielding wild-type fungal strains (Aspergillus terreus-MTCC 11045, Aspergillus terreus-MTCC 11395 and Aspergillus flavus-MTCC 11396) through physical mutagenesis by applying UV random mutations.Methods: Revival of fungal cultures on PDA plates followed by a screening of their morphological and microscopic properties. Strain improvement of screened fungi by UV (255 nm) random mutagenesis, selection of mutants based on morphological variations further submerged fermentation of selected (SmF) mutants, subsequently extraction of lovastatin from the spent broth and the extracts were analyzed for the presence of lovastatin by TLC and UV spectrophotometer scans (200-300 nm).Results: Out of eighteen screened mutant samples seven showed positive results for the lovastatin production. Among these seven positive cultures, Aspergillus terreus 11045-90 found to yield the maximum amount of lovastatin (3912 mg/l).Conclusion: The present study concludes by reporting the evidence of raised in the lovastatin titre by three-fold compared to the yield of the wild-type strain (996 mg/l) and confirms the achievement of strain improvement by UV random mutagenesis.Keywords: Aspergillus terreus, Lovastatin, UV Random mutations, Strain improvement, Submerged fermentatio

    ISOLATION AND IDENTIFICATION OF STEROIDS FROM DIFFERENT PARTS OF PROSOPIS JULIFLORA

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    Objective: The present study was carried out to investigate the steroid content present in the leaves, stem, pods and callus of Prosopis juliflora.Methods: The method of Tomita et al., was used for isolation of steroids. The structure of the isolated compound was established on the basis of physical and chemical test and spectroscopic evidence (TLC, IR and GC-MS).Results: The study concluded that a single type of steroid Diosgenin was found in the selected plant species.Conclusion: Diosgenin is an important steroidal metabolite used as a starting material for the synthesis of steroidal drugs, as it exhibits estrogenic activity

    PRM26 IMPACT OF A WEB PORTAL TOOL ON DRIVING PATIENT ADHERENCE

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    Hemidesmus indicus and Hibiscus rosa-sinensis Affect Ischemia Reperfusion Injury in Isolated Rat Hearts

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    Hemidesmus indicus (L.) R. Br. (HI) and Hibiscus rosa-sinensis L. (HRS) are widely used traditional medicine. We investigated cardioprotective effects of these plants applied for 15 min at concentrations of 90, 180, and 360 μg/mL in Langendorff-perfused rat hearts prior to 25-min global ischemia/120-min reperfusion (I/R). Functional recovery (left ventricular developed pressure—LVDP, and rate of development of pressure), reperfusion arrhythmias, and infarct size (TTC staining) served as the endpoints. A transient increase in LVDP (32%–75%) occurred at all concentrations of HI, while coronary flow (CF) was significantly increased after HI 180 and 360. Only a moderate increase in LVDP (21% and 55%) and a tendency to increase CF was observed at HRS 180 and 360. HI and HRS at 180 and 360 significantly improved postischemic recovery of LVDP. Both the drugs dose-dependently reduced the numbers of ectopic beats and duration of ventricular tachycardia. The size of infarction was significantly decreased by HI 360, while HRS significantly reduced the infarct size at all concentrations in a dose-dependent manner. Thus, it can be concluded that HI might cause vasodilation, positive inotropic effect, and cardioprotection, while HRS might cause these effects at higher concentrations. However, further study is needed to elucidate the exact mechanism of their actions

    Adaptive Mechanical Properties of Topologically Interlocking Material Systems

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    Topologically interlocked material systems are two-dimensional granular crystals created as ordered and adhesion-less assemblies of unit elements of the shape of platonic solids. The assembly resists transverse forces due to the interlocking geometric arrangement of the unit elements. Topologically interlocked material systems yet require an external constraint to provide resistance under the action of external load. Past work considered fixed and passive constraints only. The objective of the present study is to consider active and adaptive external constraints with the goal to achieve variable stiffness and energy absorption characteristics of the topologically interlocked material system through an active control of the in-plane constraint conditions. Experiments and corresponding model analysis are used to demonstrate control of system stiffness over a wide range, including negative stiffness, and energy absorption characteristics. The adaptive characteristics of the topologically interlocked material system are shown to solve conflicting requirements of simultaneously providing energy absorption while keeping loads controlled. Potential applications can be envisioned in smart structure enhanced response characteristics as desired in shock absorption, protective packaging and catching mechanisms

    The Dynamics of Health Behavior Sentiments on a Large Online Social Network

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    Modifiable health behaviors, a leading cause of illness and death in many countries, are often driven by individual beliefs and sentiments about health and disease. Individual behaviors affecting health outcomes are increasingly modulated by social networks, for example through the associations of like-minded individuals - homophily - or through peer influence effects. Using a statistical approach to measure the individual temporal effects of a large number of variables pertaining to social network statistics, we investigate the spread of a health sentiment towards a new vaccine on Twitter, a large online social network. We find that the effects of neighborhood size and exposure intensity are qualitatively very different depending on the type of sentiment. Generally, we find that larger numbers of opinionated neighbors inhibit the expression of sentiments. We also find that exposure to negative sentiment is contagious - by which we merely mean predictive of future negative sentiment expression - while exposure to positive sentiments is generally not. In fact, exposure to positive sentiments can even predict increased negative sentiment expression. Our results suggest that the effects of peer influence and social contagion on the dynamics of behavioral spread on social networks are strongly content-dependent
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