RESUMO
In most applications of nanoporous materials the pore structure is as important as the chemical composition as a determinant of performance. For example, one can alter performance in applications like carbon capture or methane storage by orders of magnitude by only modifying the pore structure. For these applications it is therefore important to identify the optimal pore geometry and use this information to find similar materials. However, the mathematical language and tools to identify materials with similar pore structures, but different composition, has been lacking. We develop a pore recognition approach to quantify similarity of pore structures and classify them using topological data analysis. This allows us to identify materials with similar pore geometries, and to screen for materials that are similar to given top-performing structures. Using methane storage as a case study, we also show that materials can be divided into topologically distinct classes requiring different optimization strategies.
RESUMO
OBJECTIVE: The aim of this study was to evaluate the effectiveness of Quetiapine versus Risperidone in control of acute psychotic signs and symptoms in hospitalized patients during four weeks. METHODS: In this double-blind, randomized controlled study, a total of 90 patients with a confirmed diagnosis acute psychosis and were hospitalized in Zare Hospital, Sari, Iran, and they were treated with Quetiapine (mean 500 mg/day) or Risperidone (mean 5.2 mg/day), in a 4 week period. The positive and negative symptoms scale (PANSS) and Clinical Global Impression-Severity scale (CGI-s) were used to assess psychotic symptoms and severity of illness in first and the last day of the study. RESULTS: No significant difference found between two groups in decreasing positive and negative sub-scores in the PANSS. Risperidone was superior to Quetiapine in decreasing the PANSS general psychopathology sub-scores and total score (p<0.05). No significant difference found between two groups in decreasing CGI-s score.
