2,415 research outputs found

    Studi Identifikasi Faktor-Faktor Yang Mempengaruhi Perilaku Penggunaan Kosmetik Pada Siswi SMAN 10 Medan

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    Penelitian ini bertujuan untuk melihat besaran faktor-faktor yang memliki pengaruh dalam perilaku penggunaan kosmetik pada siswi remaja, dimana yang menjadi subjek penelitian adalah murid siswi SMAN 10 MEDAN yang berjumlah 40 orang.Berdasarkan tinjauan pustaka maka hipotesis yang diajukan dalam penelitian ini adalah adanya dampak signifikan antara faktor-faktor yang mempengaruhi perilaku penggunaan kosmetik.Dalam upaya membuktikan hipotesis tersebut, digunakan metode uji normalitas One Sample Kolmogorov- Smirnov Testuntuk mengetahui apakah data terdistribusi secara normal, didapatkan hasil bahwa data terdistribusi normal. Dilanjutkan dengan melakukan uji Hipotesisuntuk menguji apakah hipotesis sesui dengan penelitian, dan didapatkanhasil bahwa tidak ada perbedaan signifikan pada perilaku penggunaan kosmetik dari penggunaan kosmetik (p = 0,071 > 0,05) menunjukkan pengaruh yang tidak signifikan. Pengambilan keputusan dilihat pula dari persentase penyebaran skor dari perilaku penggunaan kosmetik pada keseluruhan subjek. Subjek yang memiliki kategori perilaku penggunaan kosmetik sangat rendah 10%, kategori perilaku penggunaan kosmetik sedang 70%, kategori perilaku penggunaan kosmetik tinggi 20%. Dari data persentase ini menunjukkan bahwa mayoritas subjek secara dominan berada pada kategori sedang, hal ini menunjang penjelasan bahwa faktor perilaku penggunaan kosmetik tidak berpengaruh signifikan terhadap penggunaan kosmetikThis study aims to see the magnitude of factors that have an influence in the behavior of cosmetic use in adolescent students, where the subject of research isstudents of SMAN 10 MEDAN which amounted to 40 people.Based on literature review, the hypothesis proposed in this study is the existence of significant impact between the factors that influence the behavior of cosmetic use. In an effort to prove the hypothesis, used the test method of normality One Sample Kolmogorov-Smirnov Test to determine whether the data is normally distributed, the results obtained that the data is normally distributed. Followed by Hypothesis test to test whether the hypothesis is in agreement with the research, and it was found that there was no significant difference in cosmetic use behavior from cosmetic use (p = 0,071> 0,05) showed insignificant effect. Decisionmaking is also seen from the percentage of scoring spread of cosmetic use behavior on the whole subject. Subjects who have the category of cosmetic use behavior are very low 10%, the category of cosmetic use behavior is 70%, the category of high cosmetic use behavior 20%. From this percentage data indicates that the majority of subjects are predominantly in the medium category, this supports the explanation that the behavioral factors of cosmetic use has no significanteffect on the use of cosmetic

    Developmental effects on reproductive hormone levels: A migrant study

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    Previous studies have established that average profiles of salivary progesterone and oestradiol, differ considerably among populations. Diet, age, and energetics appear responsible for acute inter-populational differences, but significant, unexplained differences in chronic levels of reproductive steroids remain. Based on developmental hypotheses advanced by reproductive ecologists, a migration study was initiated to assess whether environmental conditions experienced during development can influence patterns of adult ovarian hormones. Salivary steroid profiles of Bangladeshi women who migrated to the UK at different times (infancy, childhood, adulthood) were compared to those of women in Bangladesh, second-generation Bangladeshi migrants, and white women bom and resident in the UK. Data on socio- demographics, anthropometry, physical activity, diet and reproductive history were also collected. The following hypotheses and predictions were examined: A) Early life conditions influence adult set points of ovarian steroid hormones - women in Bangladesh and adult migrants will have lower ovarian steroids than child migrants, second generation and white women B) improved conditions during childhood can alter levels of ovarian steroids child migrants will have levels of ovarian steroids that are negatively correlated with age at migration and C) alterations in conditions after maturation do not modify set points established during early life - adult migrants will have steroid levels that are comparable to Bangladeshi sedentees. The predictions were upheld for progesterone but not for oestradiol. Results point to infancy and childhood as a sensitive period when changes in environmental conditions determine the tempo of growth and maturation, as well as later adult progesterone levels. In contrast, no evidence was found of a developmental effect on adult levels of oestradiol. The alterations in hormones levels among Bangladeshi migrants, together with a changing diet and reproductive behaviours, may put child migrants and second-generation women at increased risk for breast cancer in later life

    Automated, simulation-assisted and feedback-guided biomolecular engineering

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    The modification and even more de novo construction of novel enzymatic and multienzymatic bioreaction cascades is of high interest for biotechnological and medical applications [1]. Two main strategies have been established and evolved significantly in the recent years to engineer and optimize such enzymatic systems. First, rational approaches based on structural model descriptions; second, high-throughput screening of numerous, often randomly generated variants. Ideally, both methods should be combined and complement each other in an automated manner, involving minimal manual effort. Key to such successful interconnection is the combination of a reliable model based understanding of the enzymatic systems; prediction of the relevant enzymatic properties based on it; and feedback from experimental data to refine the model-based predictions. The latter refinement should ideally be implemented automatically using machine learning. We introduce a new integrated concept and its automatized integration to achieve this simulationexperimental feedback loop and especially to overcome the problem of “combinatorical explosion” when targeting multiple modification sites in parallel. We termed the approach feedback-guided enzyme optimization (FEO) and apply it to two exemplary enzymatic systems of interest. The first enzyme, aspartokinase III (AK3) of E. Coli, is a bottleneck enzyme in the lysine biosynthetic pathway. It is naturally inhibited via an allosteric conformation transition caused by its own downstream product, lysine (amongst other inhibitors). During many decades, this enzyme has been heavily engineered to overcome this inhibition; hence many data is available for this enzyme system. Simulation predictability of AK3 sensitivity to lysine has been compared to experimental own and literature data, allowing for a significant (p\u3c0.05) simulationbased discrimination of highly resistant versus non-resistant variants. Determination of new lysine resistant mutants by multiple point mutations is performed within few dozen (usually \u3c100) iterations, which is computationally feasible using the presented multi-scaled approach. The obtained candidates are statistically evaluated and experimentally validated, showing that new Lys-resistant variants can be obtained using the new workflow without special a priori knowledge or extensive (random) screening. The second exemplary enzyme system of interest is the pyruvate dehydrogenase complex (PDC), a highly ordered and so far not well understood enzyme complex consisting of more than 100 enzymes and integrating all properties that are typically necessary for efficient enzymatic reaction cascades, like shielding of reaction intermediates, renewal of co-factors and arrangement of efficient enzymatic clusters. Its very special modular construction, mediated by linker arms, enables flexible exchange and modification of functional parts while maintaining self-assembly capability, and regulation. Based on a recently published novel model of the catalytic core of PDC [2-3], we demonstrate how the dynamic self-assembly of mutants of PDC and structurally similar enzymes complexes can be predicted, iteratively refined and used for the creation of new highly active enzyme cascades. The overall approach is currently being fully integrated in an automated robotic setup. It is expected to open up new possibilities for a more global optimization of enzymes and enzyme cascades. [1] Jandt U., You C., Zhang Y. H.-P., Zeng A.P. (2013), In: Adv. Biochem. Eng. Biotechnol. 137, 41-65. [2] Hezaveh S., Zeng A.P., Jandt U. (2016). J. Phys. Chem. B, 120(19), 4399-4409. [3] Hezaveh S., Zeng A.P., Jandt U. (2016). Investigation of Core Assembly and Stability of Human Pyruvate Dehydrogenase Complex: a Coarse-grained Approach , ACS Omega, in print, doi 10.1021/acsomega.6b00386. [4] Guo J., Hezaveh S., Tatur J., Jandt U. (2016). “Reengineering of human pyruvate dehydrogenase complex: from disintegration to highly active agglomerates”, Biochem. J., 474(5), 865-875. [5] Castellana, M., Wilson, M.Z., Xu, Y., Joshi, P., Cristea, I.M., Rabinowitz, J.D., ... & Wingreen, N. S. (2014). Nature Biotechnol, 32(10), 101

    On Quantum Effects in a Theory of Biological Evolution

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    We construct a descriptive toy model that considers quantum effects on biological evolution starting from Chaitin's classical framework. There are smart evolution scenarios in which a quantum world is as favorable as classical worlds for evolution to take place. However, in more natural scenarios, the rate of evolution depends on the degree of entanglement present in quantum organisms with respect to classical organisms. If the entanglement is maximal, classical evolution turns out to be more favorable

    In vivo characterization of the optical and hemodynamic properties of the human sternocleidomastoid muscle through ultrasound-guided hybrid near-infrared spectroscopies

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    Objective. In this paper, we present a detailed in vivo characterization of the optical and hemodynamic properties of the human sternocleidomastoid muscle (SCM), obtained through ultrasound-guided near-infrared time-domain and diffuse correlation spectroscopies. Approach. A total of sixty-five subjects (forty-nine females, sixteen males) among healthy volunteers and thyroid nodule patients have been recruited for the study. Their SCM hemodynamic (oxy-, deoxy- and total hemoglobin concentrations, blood flow, blood oxygen saturation and metabolic rate of oxygen extraction) and optical properties (wavelength dependent absorption and reduced scattering coefficients) have been measured by the use of a novel hybrid device combining in a single unit time-domain near-infrared spectroscopy, diffuse correlation spectroscopy and simultaneous ultrasound imaging. Main results. We provide detailed tables of the results related to SCM baseline (i.e. muscle at rest) properties, and reveal significant differences on the measured parameters due to variables such as side of the neck, sex, age, body mass index, depth and thickness of the muscle, allowing future clinical studies to take into account such dependencies. Significance. The non-invasive monitoring of the hemodynamics and metabolism of the sternocleidomastoid muscle during respiration became a topic of increased interest partially due to the increased use of mechanical ventilation during the COVID-19 pandemic. Near-infrared diffuse optical spectroscopies were proposed as potential practical monitors of increased recruitment of SCM during respiratory distress. They can provide clinically relevant information on the degree of the patient's respiratory effort that is needed to maintain an optimal minute ventilation, with potential clinical application ranging from evaluating chronic pulmonary diseases to more acute settings, such as acute respiratory failure, or to determine the readiness to wean from invasive mechanical ventilation.</p

    Dissemination of Strongyloides stercoralis in a patient with systemic lupus erythematosus after initiation of albendazole: a case report

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    <p>Abstract</p> <p>Introduction</p> <p><it>Strongyloides stercoralis </it>infection affects hundreds of millions of people worldwide. As immigration rates and international travel increase, so does the number of cases of strongyloidiasis in the United States. Although described both in immigrant and in immunosuppressed populations, hyperinfection and dissemination of <it>S. stercoralis </it>following the initiation of antiparasitic medication is a previously unreported phenomenon.</p> <p>Case presentation</p> <p>Here we describe the case of a 38-year-old immunocompromised woman with systemic lupus erythematosus, who developed disseminated disease following treatment with albendazole (400 mg every 12 hours). Notably the patient was receiving oral prednisone (10 mg once daily), azathioprine (50 mg twice daily), and hydroxychloroquine (400 mg daily) at the time of hospitalization. The patient was subsequently treated successfully with ivermectin (200 mcg/kg daily).</p> <p>Conclusion</p> <p>The reader should be aware that dissemination of <it>S. stercoralis </it>can occur even after the initiation of antiparasitic medication.</p

    Axial forces and bending moments in the loaded rabbit tibia in vivo

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    <p>Abstract</p> <p>Background</p> <p>Different animal models are used as fracture models in orthopaedic research prior to implant use in humans, although biomechanical forces can differ to a great extend between species due to variable anatomic conditions, particularly with regard to the gait. The rabbit is an often used fracture model, but biomechanical data are very rare. The objective of the present study was to measure axial forces, bending moments, and bending axis directly in the rabbit tibia <it>in vivo</it>. The following hypothesis was tested: Axial forces and bending moments in the mid-diaphysis of rabbit tibia differ from other experimental animals or indirectly calculated data.</p> <p>Methods</p> <p>A minifixateur system with 4 force sensors was developed and attached to rabbit tibia (<it>n </it>= 4), which were subsequently ostectomised. Axial forces, bending moments and bending angles were calculated telemetrically during weight bearing in motion between 6 and 42 days post operation.</p> <p>Results</p> <p>Highest single values were 201% body weight [% bw] for axial forces and 409% bw cm for bending moments. Whereas there was a continous decrease in axial forces over time after day 10 (<it>P </it>= 0.03 on day 15), a decrease in bending moments was inconsistent (<it>P </it>= 0.03 on day 27). High values for bending moments were frequently, but not consistently, associated with high values for axial forces.</p> <p>Conclusion</p> <p>Axial forces in rabbit tibia exceeded axial forces in sheep, and differed from indirectly calculated data. The rabbit is an appropriate fracture model because axial loads and bending moments in rabbit tibia were more closely to human conditions than in sheep tibia as an animal model.</p

    Measurement of Atmospheric Neutrino Oscillations with the ANTARES Neutrino Telescope

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    The data taken with the ANTARES neutrino telescope from 2007 to 2010, a total live time of 863 days, are used to measure the oscillation parameters of atmospheric neutrinos. Muon tracks are reconstructed with energies as low as 20 GeV. Neutrino oscillations will cause a suppression of vertical upgoing muon neutrinos of such energies crossing the Earth. The parameters determining the oscillation of atmospheric neutrinos are extracted by fitting the event rate as a function of the ratio of the estimated neutrino energy and reconstructed flight path through the Earth. Measurement contours of the oscillation parameters in a two-flavour approximation are derived. Assuming maximum mixing, a mass difference of Δm322=(3.1±0.9)103\Delta m_{32}^2=(3.1\pm 0.9)\cdot 10^{-3} eV2^2 is obtained, in good agreement with the world average value.Comment: 9 pages, 5 figure

    Conservation implications of the mating system of the Pampa Hermosa landrace of peach palm analyzed with microsatellite markers

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    Peach palm (Bactris gasipaes) is cultivated by many indigenous and traditional communities from Amazonia to Central America for its edible fruits, and is currently important for its heart-of-palm. The objective of this study was to investigate the mating system of peach palm, as this is important for conservation and breeding. Eight microsatellite loci were used to genotype 24 open-pollinated progenies from three populations of the Pampa Hermosa landrace maintained in a progeny trial for genetic improvement. Both the multi-locus outcrossing rates (0.95 to 0.99) and the progeny level multi-locus outcrossing rates (0.9 to 1.0) were high, indicating that peach palm is predominantly allogamous. The outcrossing rates among relatives were significantly different from zero (0.101 to 0.202), providing evidence for considerable biparental inbreeding within populations, probably due to farmers planting seeds of a small number of open-pollinated progenies in the same plot. The correlations of paternity estimates were low (0.051 to 0.112), suggesting a large number of pollen sources (9 to 20) participating in pollination of individual fruit bunches. Effective population size estimates suggest that current germplasm collections are insufficient for long-term ex situ conservation. As with most underutilized crops, on farm conservation is the most important component of an integrated conservation strategy
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