4 research outputs found
Investigation of isobutane dehydrogenation on CrO<inf>x</inf>/MCM-41 catalyst
The syntheses of MCM-41 (Mobil Composition of Matter No. 41) supported
chromium oxide catalysts at different chromium concentrations (4-10 \%
by mass) were carried out hydrothermally. The aim of this study was to
determine the effect of chromium concentration in the catalyst structure
on the chromate types and chromium oxidation states, as well as the
activity of the catalyst in the isobutane dehydrogenation reaction.
Inactive alpha-Cr2O3 crystals for isobutane dehydrogenation were shown
to increase in the catalyst structure as the chromium loading increased.
The highest amount of Cr6+ on the catalyst surface was detected in the
catalyst (H4-MCM-41) with 4 \% chromium by mass. Catalytic tests (T =
600 degrees C, P = atmospheric pressure, WHSV = 26 h(-1)) were performed
under fixed bed reactor conditions. The highest isobutane conversion
(similar to 60 \%) and selectivity (similar to 80 \%) were observed on
the H4-MCM-41 catalyst, which had the highest amount of Cr6+ and
monochromate structures. Catalyst deactivation was not due to coke
deposition but, rather, was caused by the formation of inactive
alpha-Cr2O3 crystal structures
In Vitro and In Vivo Evaluation of Hydroxyzine Hydrochloride Microsponges for Topical Delivery
The factors predicting pneumonia in covid-19 patients: Preliminary results from a university hospital in Turkey
Background/aim: Pneumonia is the most serious clinical presentation of
COVID-19. This study aimed to determine the demographic, clinical, and
laboratory findings that can properly predict COVID-19 pneumonia.
Materials and methods: This study was conducted in the Gazi University
hospital. All hospitalized patients with confirmed and suspected
SARS-CoV-2 infection between 16 March 2020 and 30 April 2020 were
analyzed retrospectively. COVID-19 patients were separated into two
groups, pneumonia and nonpneumonia, and then compared to determine
predicting factors for COVID-19 pneumonia. Variables that had a P-value
of less than 0.20 and were not correlated with each other were included
in the logistic regression model.
Results: Of the 247 patients included in the study 58\% were female, and
the median age was 40. COVID-19 was confirmed in 70.9\% of these
patients. Among the confirmed COVID-19 cases, 21.4\% had pneumonia. In
the multivariate analysis male sex (P = 0.028), hypertension (P =
0.022), and shortness of breath on hospital admission (P = 0.025) were
significant factors predicting COVID-19 pneumonia.
Conclusion: Shortness of breath, male sex, and hypertension were
significant for predicting COVID-19 pneumonia on admission. Patients
with these factors should be evaluated more carefully for diagnostic
procedures, such as thorax CT