969 research outputs found

    Level of Turmeric Acid Therapy Effectiveness to Reduce Intensity of Menstrual Pain

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    Menstrual pain is an incidence of discomfort during menstruation. The current incidence of menstrual pain in the world is very high. According to epidemiological studies, the incidence rate in the United States is estimated at 45-90%, while a menstrual pain in Indonesia is 64.25% of total women who have menstrual (Proverawati, 2012). It is necessary to handle both pharmacological and non-pharmacological therapies. Test the research to analyze the effectiveness level of non-pharmacology therapy (turmeric acid and green coconut water) for decreasing intensity of menstrual pain in adolescent at Faculty of Health Sciences Muhammadiyah University of Sidoarjo. The method of this research is experimental with the quantitative approach of pre and post-test of Wilcoxon.Summer sample 40 respondents. Data collection using questionnaires. The results of research using turmeric acid and green coconut water in pre and post-treatment there were significant changes after the 3rd-day treatments with P = 0,000 (p <0,05). To see the effectiveness of treatment with descriptive to know the mean value, got the result using turmeric acid with mean value 0,45 whereas green coconut water means value 0,60 with difference 0,15 point higher in green coconut water. Nodes in this study are the level of effectiveness of decreasing the intensity of menstrual pain better by consuming green coconut water than the use of turmeric acid,.suggested to increase understanding of the community will be important to use non-pharmacology therapy in overcoming menstrual pain

    Following an environmental carcinogen N2-dG adduct through replication: elucidating blockage and bypass in a high-fidelity DNA polymerase

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    We have investigated how a benzo[a]pyrene-derived N2-dG adduct, 10S(+)-trans-anti-[BP]-N2-dG ([BP]G*), is processed in a well-characterized Pol I family model replicative DNA polymerase, Bacillus fragment (BF). Experimental results are presented that reveal relatively facile nucleotide incorporation opposite the lesion, but very inefficient further extension. Computational studies follow the possible bypass of [BP]G* through the pre-insertion, insertion and post-insertion sites as BF alternates between open and closed conformations. With dG* in the normal B-DNA anti conformation, BP seriously disturbs the polymerase structure, positioning itself either deeply in the pre-insertion site or on the crowded evolving minor groove side of the modified template, consistent with a polymerase-blocking conformation. With dG* in the less prevalent syn conformation, BP causes less distortion: it is either out of the pre-insertion site or in the major groove open pocket of the polymerase. Thus, the syn conformation can account for the observed relatively easy incorporation of nucleotides, with mutagenic purines favored, opposite the [BP]G* adduct. However, with the lesion in the BF post-insertion site, more serious distortions caused by the adduct even in the syn conformation explain the very inefficient extension observed experimentally. In vivo, a switch to a potentially error-prone bypass polymerase likely dominates translesion bypass

    Semantic Inference on Heterogeneous E-Marketplace Activities

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    An electronic marketplace (e-marketplace) is a common business information space populated with many entities of different system types. Each of them has its own context of how to process activities. This leads to heterogeneous e-marketplace activities, which are difficult to make interoperable and inferred from one entity to another. This study solves this problem by proposing a concept of separation strategy and implementing it through providing a semantic inference engine with a novel inference algorithm. The solution, called the RuleXPM approach, enables one to semantically infer a next e-marketplace activity across multiple contexts/domains. Experiments show that the cross-context/cross-domain semantic inference is achievable. This paper is an understanding of many aspects related to heterogeneous activity inference

    Testing massive star evolution, star-formation history, and feedback at low metallicity: Photometric analysis of OB stars in the SMC Wing

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    The supergiant ionized shell SMC-SGS 1 (DEM 167), located in the outer Wing of the Small Magellanic Cloud (SMC), resembles structures that originate from an energetic star-formation event and later stimulate star formation as they expand into the ambient medium. However, stellar populations within and surrounding SMC-SGS 1 tell a different story. We present a photometric study of the stellar population encompassed by SMC-SGS 1 in order to trace the history of this structure and its potential influence on star formation within the low-density, low-metallicity SMC Wing. For a stellar population that is physically associated with SMC-SGS 1, we combined near-ultraviolet (NUV) photometry from the Galaxy Evolution Explorer (GALEX) with archival optical (V-band) photometry from the ESO Danish 1.54m Telescope. Given their colors and luminosities, we estimated stellar ages and masses by matching observed photometry to theoretical stellar isochrone models. We find that the investigated region supports an active, extended star-formation event spanning ∼\sim 25 - 40 Myr ago, as well as continued star formation into the present. Using a standard initial mass function (IMF), we infer a lower bound on the stellar mass from this period of ∼3×104M⊙\sim 3 \times 10^4 M_{\odot}, corresponding to a star-formation intensity of ∼\sim 6 ×\times 10−3^{-3} M⊙_{\odot} kpc−2^{-2} yr−1^{-1}. The spatial and temporal distributions of young stars encompassed by SMC-SGS 1 imply a slow, consistent progression of star formation over millions of years. Ongoing star formation along the edge of and interior to SMC-SGS 1 suggests a combined stimulated and stochastic mode of star formation within the SMC Wing. A slow expansion of the shell within this low-density environment may preserve molecular clouds within the volume of the shell, leaving them to form stars even after nearby stellar feedback expels local gas and dust.Comment: 9 pages, 6 figures, 3 table

    Vitamin C Prevents Hypogonadal Bone Loss

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    Epidemiologic studies correlate low vitamin C intake with bone loss. The genetic deletion of enzymes involved in de novo vitamin C synthesis in mice, likewise, causes severe osteoporosis. However, very few studies have evaluated a protective role of this dietary supplement on the skeleton. Here, we show that the ingestion of vitamin C prevents the low-turnover bone loss following ovariectomy in mice. We show that this prevention in areal bone mineral density and micro-CT parameters results from the stimulation of bone formation, demonstrable in vivo by histomorphometry, bone marker measurements, and quantitative PCR. Notably, the reductions in the bone formation rate, plasma osteocalcin levels, and ex vivo osteoblast gene expression 8 weeks post-ovariectomy are all returned to levels of sham-operated controls. The study establishes vitamin C as a skeletal anabolic agent. © 2012 Zhu et al

    Multi-Granular Optical Cross-Connect: Design, Analysis, and Demonstration

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    A fundamental issue in all-optical switching is to offer efficient and cost-effective transport services for a wide range of bandwidth granularities. This paper presents multi-granular optical cross-connect (MG-OXC) architectures that combine slow (ms regime) and fast (ns regime) switch elements, in order to support optical circuit switching (OCS), optical burst switching (OBS), and even optical packet switching (OPS). The MG-OXC architectures are designed to provide a cost-effective approach, while offering the flexibility and reconfigurability to deal with dynamic requirements of different applications. All proposed MG-OXC designs are analyzed and compared in terms of dimensionality, flexibility/reconfigurability, and scalability. Furthermore, node level simulations are conducted to evaluate the performance of MG-OXCs under different traffic regimes. Finally, the feasibility of the proposed architectures is demonstrated on an application-aware, multi-bit-rate (10 and 40 Gbps), end-to-end OBS testbed

    PRODUCTION AND PURIFICATION OF ANGIOTENSIN-CONVERTING ENZYME INHIBITOR BY SELECTED BACTERIAL STRAIN FOR CANCER THERAPY

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    Objective: The present study was planned to explore safer, innovative and economic Angiotensin-converting enzyme inhibitors (ACEi) from beef extract by the action of a proteolytic Micrococcus luteus. Cytotoxicity of the stable peptide was predicted using MCF-7 cell line in vitro.Methods: ACEi was purified by sequential steps of ethanol precipitation, ion exchange column chromatography (MonoQ) and gel filtration column chromatography (Sephadex G25). The apparent molecular mass was determined by SDS-PAGE. The anticancer property was analyzed by studying the cytotoxicity effects of angiotensin converting enzyme inhibitor using Breast cancer MCF-7 cell linesResults: The peptide was purified and molecular mass was determined as 4.5 kDa. The IC50 value of peptide was found to be 59.5 µg/ml. The DNA fragmentation was not observed in the treated cells. The purified peptide has demonstrated to induce apoptosis of cancer cell. The results proved that the peptide has the ability to be used for cancer therapy.Conclusion: The presence of ACE inhibition activities in the fermentation of beef extract using Micrococcus luteus has been investigated. The Peptide has been determined as an active compound that inhibited the activity of ACE. These properties indicate the possibilities of the use of purified protein as a potent anticancer agent.Keywords: Angiotensin-converting enzyme inhibitors, Micrococcus luteus, Anti-proliferative, Anti-metastatic, MCF-7 cell line, Anticancer activity
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