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DTSTART;VALUE=DATE:20210317
DTEND;VALUE=DATE:20210422
DTSTAMP:20260531T143918
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SUMMARY:Study Recruitment: Ancient Techniques and Mental Health Today
DESCRIPTION:Northeastern Department of Philosophy & Religion  \nHave you been experiencing stress and anxiety? \nYou may be eligible to participate in our study! \nHelp us investigate the impact of mindfulness on various life outcomes! All components of this study will take place virtually; participants will be asked to attend two 30-minute Zoom sessions in addition to up to 5 weeks of short\, daily smartphone tasks. \nYou must be 18 years or older\, a Boston-based Northeastern undergraduate student\, and a native English speaker to be eligible to participate. \nParticipants will receive $80 in compensation. \nContact us at pwolstudy@gmail.com if you’re interested and to see if you are eligible! \nThis study has been reviewed and approved by the Northeastern University Institutional Review Board (#21-02-21).
URL:https://coe.northeastern.edu/event/study-recruitment-ancient-techniques-and-mental-health-today/
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DTSTART;TZID=America/New_York:20210407T120000
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SUMMARY:ChE Seminar Series: Engineered Autonomous Control of Metabolic Pathways
DESCRIPTION:ChE Seminar Series Presents: \nKristala L. J. Prather\, Ph.D.\nArthur D. Little Professor\, Department Executive Officer\, Department of Chemical Engineering\, MIT \nEngineered Autonomous Control of Metabolic Pathways \nAbstract\nMicrobial systems offer the opportunity to produce a wide variety of chemical compounds in a sustainable fashion. Economical production\, however\, requires processes that operate with high titer\, productivity\, and yield. One challenge towards maximizing yields is the need to use substrate for biomass\, resulting in a competing pathway that cannot merely be eliminated. Productivities may also be significantly influenced by the timing of expression of genes in the production pathway. Dynamic metabolic engineering has emerged as a means to address these and other impediments in strain performance. Ideally\, the triggers for dynamic control would be autonomous\, that is\, independent of any external intervention by the operator. We have developed such autonomous devices based on pathway-independent quorum-sensing circuits and have demonstrated their utility across several distinct metabolic pathways and with varying levels of complexity. In this talk\, I will describe our approach for development of these Metabolite Valves and results to date from their implementation. \nBiography\nKristala L.J. Prather is the Arthur D. Little Professor in and Executive Officer of the Department of Chemical\nEngineering at MIT. She received an S.B. degree from MIT in 1994 and Ph.D. from the University of California\, Berkeley (1999)\, and worked 4 years in BioProcess Research and Development at the Merck Research Labs prior to joining MIT. Her research interests are centered on the design and assembly of recombinant microorganisms for the production of small molecules\, with additional efforts in novel bioprocess design approaches. A particular focus is the elucidation of design principles for the production of unnatural organic compounds with engineered control of metabolic flux within the framework of the burgeoning field of synthetic biology. Prather is the recipient of an Office of Naval Research Young Investigator Award (2005)\, a Technology Review “TR35” Young Innovator Award (2007)\, a National Science Foundation CAREER Award (2010)\, the Biochemical Engineering Journal Young Investigator Award (2011)\, and the Charles Thom Award of the Society for Industrial Microbiology and Biotechnology (2017). Additional honors include selection as the Van Ness Lecturer at Rensselaer Polytechnic Institute (2012)\, as a Fellow of the Radcliffe Institute for Advanced Study (2014-2015)\, the American Association for the Advancement of Science (AAAS; 2018)\, and the American Institute for Medical and Biological Engineering (AIMBE; 2020). \nPlease email Alyssa Ramsey at a.ramsey@northeastern.edu for the link to the seminar.
URL:https://coe.northeastern.edu/event/che-seminar-series-engineered-autonomous-control-of-metabolic-pathways/
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DTSTART;TZID=America/New_York:20210407T140000
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SUMMARY:ECE PhD Dissertation Defense: Vikrant Shah
DESCRIPTION:PhD Dissertation Defense: Visual Navigation Applications in Low Contrast Environments: Multi Sensor Iceberg Mapping \nVikrant Shah \nLocation: Zoom Link \nAbstract: Most approaches to visual navigation make multiple assumptions about the scenes being imaged. There are implicit assumptions about the scene being predominantly static and the availability of well illuminated\, texture rich\, objects in the scene. In some cases these assumptions severely limit or eliminate the full applicability of visual Simultaneous Localization and Mapping (SLAM) and Structure from Motion (SfM) methodologies. This dissertation attempts to address problems where the assumptions of static scenes and texture rich objects are not valid. Motivated by the application of mapping rotating and translating icebergs\, we propose a system level solution for addressing the problem of mapping large\, low contrast\, moving targets with slow but complicated dynamics. \nOur approach leverages the complementary nature of multiple sensing modalities and utilizes a rigidly coupled combination of a subsurface multibeam sonar (a line scan sensor) and an optical camera (an area scan sensor). This allows the system to exploit the optical camera information to perform iceberg relative navigation\, which can be directly used by the multibeam sonar to map the iceberg underwater. To compensate for the effect of low contrast we conducted an in-depth analysis of features detectors and descriptors on end-to-end SfM algorithms to demonstrate and understand how methodologies such as Contrast Limited Adaptive Histogram Equalization (CLAHE) and Zernike Moment descriptors help improve the overall accuracy in these challenging applications. \nWe merge these approaches into an algorithmic framework that allows us to compute the scale of the navigation solution and iceberg centric navigation corrections. These corrections can then be used for accurate iceberg reconstructions. This enables a quantitative analysis of our iceberg mapping efforts including volume estimation and change detection. \nWe successfully demonstrate our approach on real field data from three of the icebergs surveyed multiple times during the 2018 and 2019 campaigns to the Sermilik fjord in Eastern Greenland. Availability of iceberg mounted Global Navigation Satellite System (GNSS) observations during these research expeditions also allowed for a comparison of this approach against ground truth\, providing additional confidence in the systems level mapping efforts. The accuracy of the reconstructions is demonstrated by estimating iceberg volumes\, calculating their ablation rates\, and performing change detection at a granular scale.
URL:https://coe.northeastern.edu/event/ece-phd-dissertation-defense-vikrant-shah/
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