
UCI research team members will manage brain sample acquisition, processing and characterization as part of the BRAIN Initiative Cell Atlas Network project. “This project is an example of how fruitful teamwork can be in science - these types of projects cannot be accomplished in a single lab.”
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“Similar to the way we learned about space travel from short trips to the moon, the mouse brain mapping project taught us a lot about how to approach a much bigger brain, and the types of genomic information we would need to be able to truly map the human brain,” said Behrens at the Salk. The BRAIN Initiative Cell Census Network, which also involved Ren and Ecker, published its mouse atlas findings in a special issue of Nature in October 2021. The Center for Multiomic Human Brain Cell Atlas is part of the NIH’s BRAIN Initiative Cell Atlas Network (BICAN), expanding a five-year effort that began with mapping the mouse brain. In addition to Ren and Ecker, the Center for Multiomic Human Brain Cell Atlas includes Margarita Behrens, Ph.D., a research professor at Salk Xiangmin Xu, Ph.D., professor of anatomy and neurobiology at UC Irvine and Ting Wang, Ph.D., professor of medicine at Washington University School of Medicine in St. “Ultimately this information might help us design gene therapies that target only the cell populations where the treatment is needed - delivering the right genes to the right place at the right time.” “The project will establish a baseline against which scientists will be able to compare brains with neurological or psychiatric conditions, such as Alzheimer’s disease, autism, depression and traumatic brain injury which, in turn, can lead to new insights, treatments and therapeutics.”įor example, said the center’s leader Joseph Ecker, Ph.D., director of the Genomic Analysis Laboratory at Salk and an adjunct professor of cell and developmental biology at UC San Diego School of Medicine, “we could say ‘that’s the region of the genome, in that specific subset of neurons, in that part of the brain, where a molecular event goes awry to cause that disease.’ “The goal is to better understand how neurotypical human brains work and age,” said Bing Ren, Ph.D., UC San Diego professor of cellular and molecular medicine and one of the effort’s principal investigators. The center is the latest addition to the NIH’s Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative, which seeks to describe the human brain’s cells in unprecedented molecular detail, classifying them into more precise subtypes, pinpointing their locations in the brain and tracking how cellular features change over a lifetime. Louis has launched a new Center for Multiomic Human Brain Cell Atlas. Such studies are required to develop robust and reliable vibration-based structural health monitoring methods for this type of bridge, which is a long-term research objective of the authors.With a five-year, $126 million grant from the National Institutes of Health (NIH), a multi-institution team of researchers at University of California San Diego School of Medicine, UC Irvine, Salk Institute for Biological Studies and Washington University in St. The framework presented in this article will allow us to investigate the effects of various realistic damage scenarios in long-span cable-supported (suspension and cable-stayed) bridges on changes in modal identification results.

Statistical properties of the identified modal parameters are investigated under an increasing level of measurement noise. Finally, effects of measurement noise on the system identification results are studied by adding zero-mean Gaussian white noise processes to the simulated response data. The identified modal parameters are verified by the computed eigenproperties of the bridge model. Based on the simulated wind-induced vibration data, the modal parameters (natural frequencies, damping ratios, and mode shapes) of the bridge are identified using the data-driven stochastic subspace identification method. Abstract: In this article, wind-induced vibration response of Vincent Thomas Bridge, a suspension bridge located in San Pedro near Los Angeles, California, is simulated using a detailed three-dimensional finite element model of the bridge and a state-of-the-art stochastic wind excitation model.
