Hamiltonkhan2862

Pfeiffer syndrome is an uncommon autosomal dominant disorder that results in craniosynostosis of multiple calvarial sutures with resulting abnormal facies and turribrachycephaly. Presented here is a case of Pfeiffer syndrome type II demonstrating a cloverleaf skull configuration and multiple facial and skull base abnormalities characteristic of the disorder. The constellation of findings consistent with Pfeiffer syndrome type II described here provides imaging depictions helpful to the radiologist who may be able to suggest genetic testing for this disorder. © 2020 The Authors. Published by Elsevier Inc. on behalf of University of Washington.Measurements of relaxation processes are essential in many fields, including nonlinear optics. Relaxation processes provide many insights into atomic/molecular structures and the kinetics and mechanisms of chemical reactions. For the analysis of these processes, the extraction of modes that are specific to the phenomenon of interest (normal modes) is unavoidable. In this study we propose a framework to systematically extract normal modes from the viewpoint of model selection with Bayesian inference. Our approach consists of a well-known method called sparsity-promoting dynamic mode decomposition, which decomposes a mixture of damped oscillations, and the Bayesian model selection framework. We numerically verify the performance of our proposed method by using coherent phonon signals of a bismuth polycrystal and virtual data as typical examples of relaxation processes. Our method succeeds in extracting the normal modes even from experimental data with strong backgrounds. Moreover, the selected set of modes is robust to observation noise, and our method can estimate the level of observation noise. From these observations, our method is applicable to normal mode analysis, especially for data with strong backgrounds. © 2020 The Author(s). Published by National Institute for Materials Science in partnership with Taylor & Francis Group.In order to exploit full potential of materials, it is necessary to fundamentally control their microstructures through grain refinement and orientation. Deformation and recrystallization are means to control the microstructure. Some recent examples of research on deformation and recrystallization which make use of advanced analytical techniques and computational materials science are examined and current limitations are identified. Finally, the potential for future developments is considered with respect to the unresolved technical problems that must be addressed as part of the development of new steels. Oprozomib order © 2020 The Author(s). Published by National Institute for Materials Science in partnership with Taylor & Francis Group.BACKGROUND The effect of an active substance in a dosage form can be influenced by the different method of preparation. Nanotechnology has been used widely in all aspects including drug delivery system. Nanocream is one of the cosmetic dosage forms to improve the absorption of active substances on the skin. AIM The study was to compare macadamia nuts oil nanocream with conventional cream as skin antiaging dosage form. METHODS The formulation of nanocream was consisted of macadamia nuts oil 10%, tween 80, propylene glycol, cetyl alcohol, methyl paraben, propyl paraben and distilled water. The anti-aging was conducted by comparing the nanocream and conventional cream. The evaluation of anti-aging activity was conducted using skin analyzer apparatus. The aging parameters were moisture, evenness, pore size, black spot, and wrinkle of the skin. The data were collected for 4 weeks. All the data obtained were statistically analyzed. RESULTS Macadamia nut oil nanocream dosage form showed better antiaging activity on the skin compared to conventional cream which were characterized by changes in skin condition on each aging skin parameter such as water content, pore size, melanin, and wrinkles. CONCLUSON It is concluded that macadamia nuts oil in nanocream dosage form has better antiaging activity on the skin compared to conventional cream and macadamia nuts oil can be used as an effective skin anti-aging dosage form. Copyright © 2019 Tengku Ismanelly Hanum, Lia Laila, Sumaiyah Sumaiyah, Elvi Syahrina.BACKGROUND Chemometric can be defined as a branch of analytical chemistry using statistical principles to design and select optimal analytical procedures and experiments. The chemometric technique that applies in the design of quantitative calibration curves in the spectral analysis is very important in quality control of the component contained in the drug mixture of 2 or 3 drug components or more, especially the component that has the adjacent wavelength when the spectrum overlap. AIM The purpose of this study was to conduct research that examines betamethasone and neomycin mixture in cream with the UV spectrophotometric methods using a chemometric calculation. METHODS Chemometric calculation for determination of betamethasone and neomycin mixture in cream supply by ultraviolet spectrophotometric. RESULTS The result of betamethasone and neomycin levels were 91.35% and 97.56%, relative standard deviation (RSD) for betamethasone and neomycin 0.93%; 1.73% and recovery percentage 99.09%; 99.94%. On the multivariate calibration of PLS betamethasone and neomycin with each RMSEC value of 0.0230 and 0.3553 with the value of RMSECV 0.7187 and 0.3586 with RMSEP value 0.1558 and 0.0820. Thus, the predictive ability of the research is still acceptable and is well used for grade determination of betamethasone and neomycin content fulfil the requirement for cream preparation according to USP edition XXX. CONCLUSION Methods of UV spectrophotometric with chemometric can be used in the determination of BET and NEO levels in cream preparations and BET level is 91.35% with a range of 90-110%, and NEO level is 97.56% with a range of 94.45-98.71%. These levels have met the requirements of the levels listed in Indonesian Pharmacopoeia, 2014. Copyright © 2019 Muchlisyam Bachri, Julia Reveny, Yade Metri Permata, D. N. Panjaitan.BACKGROUND The product development of an anti-aging dosage for human skin is a very interesting issue because every human wants to be looked young as long as possible. A studies and development of plant that contain of antioxidant properties need to be studied further. AIM The aim of this research was to formulate and evaluate the physical and anti-aging effect of the Peel-Off Gel Mask from Red Bean Ethanol Extract (PGMRB). METHODS The Extract Ethanol of Red Bean was extracted by maceration methods with ethanol 96%. The Peel-off base was consisted of Polyvinyl alcohol, glycerin and carbomer 940. The gel formulation was made in 3 formulas (F1, F2, and F3) consisted with 1%, 3% and 5% ethanol extract, respectively. The blank formula (F0) was also prepared as a control formula. The evaluation of gel formulation included organoleptic test, pH determination, stability test, homogeneity test, peeling time, irritation test and anti-aging effect test included moisture level, skin pore size, the evenness test and dark spot test by using skin analyzer.