177 research outputs found

    Characteristics of Women with Menopause Complaint in the Work Area Health Center Rejosari

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    Menopause is the last phase of a woman's menstrual bleeding which stopped altogether. At the age of 50 years, menopausal women that happens a decrease or loss of estrogen hormones that cause women experience a complaints or disorders that often interferes with daily activities can even lower your quality of life. This research was conducted to find out the characteristics of women who experience menopausal complaints in Puskesmas Rejosari. This research is quantitative analytic with cross sectional design. The population in this study are all women aged 45-59 years who visited clinics in Rejosari totalling 100 people. The Data used is primary data. The analysis used to determine the presence of bivariat analysis relationship characteristics of women with menopausal complaints. Result of research got woman age and menstrual condition relate to sigh a period of menopause while parity, intrauterine device, Make an index to A period of Body, education, work, nuptials status, and earnings not relate to sigh a period to menopause. Expected to health centers to provide counseling Rejosari about good nutrition before menopause and preparation for menopause gymnastics through the implementation of the elderly on a regular basis.&nbsp

    Lemur Systematics and Hemoglobin Phylogeny a

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/73526/1/j.1749-6632.1988.tb51443.x.pd

    Spontaneous galvanic displacement of Pt nanostructures on nickel foam: Synthesis, characterization and use for hydrogen evolution reaction

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    Abstract In this paper we propose the use of spontaneous galvanic displacement as a promising solution to produce nickel foam electrodes functionalized with interconnected platinum nanoparticles. Scanning Electron Microscopy analyses, coupled with X-ray Energy Dispersive Spectroscopy show that, under proper conditions, we can overcome the limits of other deposition techniques, achieving a uniform Pt coverage throughout the 3D structure of the Ni foam. We show that such a condition, not deeply investigated in previous literature, turns out to be crucial for the long term stability of the electrodes under constant current stress. The amount of Pt on the Ni foam has been experimentally evaluated, obtaining optimal results with 0.015 mg cm−2 of noble metal in a 0.16 cm thick electrode. Such a low amount corresponds to a Ni foam cost increase of less than 0.1%

    Thermal expansion, heat capacity and magnetostriction of RAl3_3 (R = Tm, Yb, Lu) single crystals

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    We present thermal expansion and longitudinal magnetostriction data for cubic RAl3 (R = Tm, Yb, Lu) single crystals. The thermal expansion coefficient for YbAl3 is consistent with an intermediate valence of the Yb ion, whereas the data for TmAl3 show crystal electric field contributions and have strong magnetic field dependencies. de Haas-van Alphen-like oscillations were observed in the magnetostriction data of YbAl3 and LuAl3, several new extreme orbits were measured and their effective masses were estimated. Zero and 140 kOe specific heat data taken on both LuAl3 and TmAl3 for T < 200 K allow for the determination of a CEF splitting scheme for TmAl3

    Fibrinogen-to-Albumin Ratio and Blood Urea Nitrogen-to-Albumin Ratio in COVID-19 Patients: A Systematic Review and Meta-Analysis

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    Fibrinogen-to-albumin ratio (FAR) and blood urea nitrogen-to-albumin ratio (BAR) are inflammatory biomarkers that have been associated with clinical outcomes of multiple diseases. The objective of this study is to evaluate the association of these biomarkers with the severity and mortality of COVID-19 patients. A systematic search was performed in five databases. Observational studies that reported the association between FAR and BAR values with the severity and mortality of COVID-19 patients were included. Random-effects models were used for meta-analyses, and effects were expressed as Odds Ratio (OR) and their 95% confidence intervals (CI). Publication bias was assessed using the Begg test, while the quality assessment was assessed using the Newcastle Ottawa Scale. A total of 21 studies (n = 7949) were included. High FAR values were associated with a higher risk of severity (OR: 2.41; 95% CI 1.41–4.12; p < 0.001) and mortality (OR: 2.05; 95% CI 1.66–2.54; p < 0.001). High BAR values were associated with higher risk of mortality (OR: 4.63; 95% CI 2.11–10.15; p < 0.001). However, no statistically significant association was found between BAR values and the risk of severity (OR: 1.16; 95% CI 0.83–1.63; p = 0.38). High FAR and BAR values were associated with poor clinical outcomes.Revisión por pare

    Plan de negocio para la implementaci?n de una empresa fintech de intercambio de divisas

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    GoDivisa es una Fintech que funciona como canal para que las empresas que tienen necesidades de cambio de divisas y los proveedores de cambio de monedas, puedan realizar operaciones de compra y venta. Estas operaciones son la subasta, donde los usuarios invitan a proveedores a subastar online en la plataforma sus divisas y, por otro lado, al tipo de cambio promedio, donde los usuarios invitan a otros usuarios para intercambiar al tipo de cambio promedio interbancario. La oportunidad de negocio encontrada por GoDivisa es que permite cubrir alguna de las fallas m?s relevantes del sistema financiero permitiendo que las peque?as empresas puedan pactar sus propias tasas de cambio o puedan utilizar un tipo de cambio que se aproxime a las tasas de los bancos de primer nivel en el pa?s. Para ello, se realiz? una investigaci?n de mercado que demostr? la viabilidad del servicio, ello ser?a reforzado por la constituci?n de un fideicomiso que permitir? incorporar legalmente nuestras operaciones al sistema financiero para darle seguridad y transparencia a nuestros clientes. Finalmente, existe un an?lisis de riesgos probables, una propuesta de plan de marketing B2B y un an?lisis financiero conservador que demostrar? que la propuesta de negocio es atractiva

    Two families of non-LTR retrotransposons, Syrinx and Daphne, from the Darwinulid ostracod, Darwinula stevensoni

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    Author Posting. © The Authors, 2005. This is the author's version of the work. It is posted here by permission of Elsevier B.V. for personal use, not for redistribution. The definitive version was published in Gene 371 (2006): 296-307, doi:10.1016/j.gene.2005.12.007.Two novel families of non-LTR retrotransposons, named Syrinx and Daphne, were cloned and characterized in a putative ancient asexual ostracod Darwinula stevensoni. Phylogenetic analysis reveals that Daphne is the founding member of a novel clade of non-LTR retroelements, which also contains newly described families from the sea urchin and the silkworm and forms a sister clade to L2-like elements. The Syrinx family of non-LTR retrotransposons exhibits evidence of relatively recent activity, manifested in high levels of sequence similarity between individual copies and a three- to ten-fold excess of synonymous substitutions, which is indicative of purifying selection. The Daphne family may have very few copies with intact open reading frames, and exhibits neutral within-family ratio of non-synonymous to synonymous substitutions. It can additionally be characterized by formation of inverted truncated head-to-head structures. All of these features make recent activity less likely than in the Syrinx family. Our results are discussed in light of the evolutionary consequences of long-term asexuality in general and in Darwinula stevensoni in particular.I.S. acknowledges funding from the EC (Marie-Curie grant BIO-4-CT-98-5086) and the Belgian OSTC (MO/36/005), and I.A. would like to thank the U.S. National Science Foundation

    Exploiting protein flexibility to predict the location of allosteric sites

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    Background: Allostery is one of the most powerful and common ways of regulation of protein activity. However, for most allosteric proteins identified to date the mechanistic details of allosteric modulation are not yet well understood. Uncovering common mechanistic patterns underlying allostery would allow not only a better academic understanding of the phenomena, but it would also streamline the design of novel therapeutic solutions. This relatively unexplored therapeutic potential and the putative advantages of allosteric drugs over classical active-site inhibitors fuel the attention allosteric-drug research is receiving at present. A first step to harness the regulatory potential and versatility of allosteric sites, in the context of drug-discovery and design, would be to detect or predict their presence and location. In this article, we describe a simple computational approach, based on the effect allosteric ligands exert on protein flexibility upon binding, to predict the existence and position of allosteric sites on a given protein structure. Results: By querying the literature and a recently available database of allosteric sites, we gathered 213 allosteric proteins with structural information that we further filtered into a non-redundant set of 91 proteins. We performed normal-mode analysis and observed significant changes in protein flexibility upon allosteric-ligand binding in 70% of the cases. These results agree with the current view that allosteric mechanisms are in many cases governed by changes in protein dynamics caused by ligand binding. Furthermore, we implemented an approach that achieves 65% positive predictive value in identifying allosteric sites within the set of predicted cavities of a protein (stricter parameters set, 0.22 sensitivity), by combining the current analysis on dynamics with previous results on structural conservation of allosteric sites. We also analyzed four biological examples in detail, revealing that this simple coarse-grained methodology is able to capture the effects triggered by allosteric ligands already described in the literature. Conclusions: We introduce a simple computational approach to predict the presence and position of allosteric sites in a protein based on the analysis of changes in protein normal modes upon the binding of a coarse-grained ligand at predicted cavities. Its performance has been demonstrated using a newly curated non-redundant set of 91 proteins with reported allosteric properties. The software developed in this work is available upon request from the authors
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