Introducing a fast and accurate method to estimate the seismic demand and capacity of first-mode-dominated multi-degree-of-freedom systems in regions ranging from nearelastic to global collapse. This is made possible by exploiting the connection between the Static Pushover (SPO) and the Incremental Dynamic Analysis (IDA). While the computer-intensive IDA would require several nonlinear dynamic analyses under multiple suitably-scaled ground motion records, the simpler SPO helps approximate the multi-degree-of-freedom system with a single-degree-of-freedom oscillator whose backbone matches the structure’s SPO curve far beyond its peak. Similar methodologies exist but they usually employ oscillators with a bilinear backbone. In contrast, the empirical equations implemented in the SPO2IDA software allow the use of a complex quadrilinear backbone shape. Thus, the entire summarized IDA curves of the resulting system are effortlessly generated, enabling an engineer-user to obtain accurate estimates of seismic demands and capacities for limit-states such as immediate occupancy or global dynamic instability. Using three multistory buildings as case studies, the methodology is favorably compared to the full IDA. CE Database keywords: Nonlinear analysis; Static analysis; Dynamic analysis; Seismic response; Earthquakes; Performance evaluation; Buildings, multistory; Approximation methods.
Oral squamous cell carcinoma (OSCC) is one of the most prevalent human malignancies and a global health concern with a poor prognosis despite some therapeutic advances, highlighting the need for a better understanding of its molecular etiology. The genomic landscape of OSCC is well-established and recent research has focused on miRNAs, which regulate gene expression and may be useful non-invasive biomarkers or therapeutic targets. A plethora of findings regarding miRNA expression have been generated, posing challenges for the interpretation and identification of disease-specific molecules. Hence, we opted to identify the most important regulatory miRNAs by bridging genetics and epigenetics, focusing on the key genes implicated in OSCC development. Based on published reports, we have developed custom panels of fifteen major oncogenes and five major tumor suppressor genes. Following a miRNA/target gene interaction analysis and a comprehensive study of the literature, we selected the miRNA molecules which target the majority of these panels that have been reported to be downregulated or upregulated in OSCC, respectively. As a result, miR-34a-5p, miR-155-5p, miR-124-3p, miR-1-3p, and miR-16-5p appeared to be the most OSCC-specific. Their expression patterns, verified targets, and the signaling pathways affected by their dysregulation in OSCC are thoroughly discussed.
Journal Article Capillaritis (purpura simplex) associated with use of aminoglutethimide in Cushing’s syndrome Get access Constantine A. Stratakis, M.D., D.Sc., Constantine A. Stratakis, M.D., D.Sc. Fellow Pediatric Endocrinology. Genetics, and Metabolism. National Institutes of Health/ Georgetown University Fellowship Program. Bethesda. MD Search for other works by this author on: Oxford Academic Google Scholar George P. Chrousos, M.D., FAAP, FACP George P. Chrousos, M.D., FAAP, FACP Senior Investigator and Chief Section on Pediatric Endocrinology. Developmental Endocrinology Branch, and Director. Pediatric Endocrinology Training Program, National Institute of Child Health and Human Development. Bethesda. He is also Professor of Pediatrics. Physiology, and Biophysics. Georgetown University. Washington. DC. Search for other works by this author on: Oxford Academic Google Scholar American Journal of Hospital Pharmacy, Volume 51, Issue 20, 15 October 1994, Pages 2589–2591, https://doi.org/10.1093/ajhp/51.20.2589 Published: 15 October 1994
Scalar and vector intensity measures are developed for the efficient estimation of limit-state capacities through incremental dynamic analysis (IDA) by exploiting the elastic spectral shape of individual records. IDA is a powerful analysis method that involves subjecting a structural model to several ground motion records, each scaled to multiple levels of intensity (measured by the intensity measure or IM), thus producing curves of structural response parameterized by the IM on top of which limit-states can be defined and corresponding capacities can be calculated. When traditional IMs are used, such as the peak ground acceleration or the first-mode spectral acceleration, the IM-values of the capacities can display large record-to-record variability, forcing the use of many records to achieve reliable results. By using single optimal spectral values as well as vectors and scalar combinations of them on three multistorey buildings significant dispersion reductions are realized. Furthermore, IDA is extended to vector IMs, resulting in intricate fractile IDA surfaces. The results reveal the most influential spectral regions/periods for each limit-state and building, illustrating the evolution of such periods as the seismic intensity and the structural response increase towards global collapse. The ordinates of the elastic spectrum and the spectral shape of each individual record are found to significantly influence the seismic performance and they are shown to provide promising candidates for highly efficient IMs. Copyright © 2005 John Wiley & Sons, Ltd.
The recent finding of the effectiveness of corticosteroid therapy in reducing mortality in patients with severe coronavirus disease-19 (COVID-19) is a welcome breakthrough [1][2][3][4][5][6].In this article, we highlight the current understanding of the effect of corticosteroid therapy in severe COVID-19.