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DTSTART;TZID=America/New_York:20250805T101500
DTEND;TZID=America/New_York:20250805T111500
DTSTAMP:20260404T043932
CREATED:20250722T133649Z
LAST-MODIFIED:20250722T133649Z
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SUMMARY:MEAM Seminar: "Leveraging Robot-Based Haptic Dyads to Improve Community-Based Stroke Rehabilitation"
DESCRIPTION:Disabilities related to aging and stroke impact functional independence and quality of life for millions of older adults\, creating a growing need for scalable\, accessible rehabilitation solutions. Community-based robotic therapy that leverages social interaction and haptic feedback offers a promising approach\, particularly for individuals with motor and cognitive impairments. \nThis seminar presents work exploring how haptic interaction between individuals influences motor learning and usability in a rehabilitation context. I will begin with findings from a literature review on robot-based haptic dyads\, highlighting how haptic connections have previously been used to study motor learning in healthy young adults. I will then present our design for a low-cost robotic rehabilitation system to haptically connect multiple users. Next\, I will discuss preliminary results from a pilot study and full experimental protocol involving healthy older adults and stroke survivors\, comparing individual and partnered motor learning in a robot-based tracking task. Analyses include performance outcomes\, motor learning curves\, and user-reported experience across conditions. I will also introduce a computational model of solo human-robot interaction\, based on inverse optimal control\, to simulate impaired sensorimotor behavior in a simplified robot-based assessment task. \nTogether\, these studies provide a foundation for understanding how impairment shapes sensorimotor learning and how robot-based haptic dyads can be designed to support recovery. Future work will build on this foundation to model dyadic interaction strategies and implement adaptive controllers that balance partner abilities in collaborative rehabilitation tasks\, with the ultimate goal of enabling personalized\, socially engaging robot-based therapy.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-leveraging-robot-based-haptic-dyads-to-improve-community-based-stroke-rehabilitation/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Doctoral
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
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DTSTART;TZID=America/New_York:20250806T110000
DTEND;TZID=America/New_York:20250806T120000
DTSTAMP:20260404T043932
CREATED:20250805T154526Z
LAST-MODIFIED:20250805T154526Z
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SUMMARY:[VIRTUAL SPEAKER]: Summer 2025 GRASP Seminar: Michal Gregor\, Kempelen Institute of Intelligent Technologies\, "Low-Resource NLP: Not Just Throwing Data at a Model and Hoping for the Best"
DESCRIPTION:This is a virtual event ONLY with attendance via Zoom.  \nABSTRACT\nThe talk will introduce several topics in low-resource and multilingual NLP – in the domain of disinformation combatting\, through works done at the Kempelen Institute of Intelligent Technologies in Bratislava – and also in the more general context of efficiently adapting large language models to smaller languages. It will argue that machine learning – even in the era of deep learning and large language models – is not just about throwing increasing amounts of data at a model and hoping for the best; our lack of understanding can and sometimes does severely limit the capabilities of our models.
URL:https://seasevents.nmsdev7.com/event/virtual-speaker-summer-2025-grasp-seminar-michal-gregor-kempelen-institute-of-intelligent-technologies-low-resource-nlp-not-just-throwing-data-at-a-model-and-hoping-for-the-best/
LOCATION:Virtual via Zoom
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250807T100000
DTEND;TZID=America/New_York:20250807T120000
DTSTAMP:20260404T043932
CREATED:20250804T135920Z
LAST-MODIFIED:20250804T135920Z
UID:10008419-1754560800-1754568000@seasevents.nmsdev7.com
SUMMARY:CBE Doctoral Dissertation Defense: "Quantitative Transcriptional Regulation through Protein–DNA Interactions in Developing Systems" (Gaochen Jin)
DESCRIPTION:Abstract: \nPrecise regulation of gene expression is essential for controlling developmental programs\, maintaining cellular identity\, and ensuring proper tissue function. Dynamic interactions between proteins and cis-regulatory elements integrate molecular mechanisms and extracellular signaling to achieve precise control of transcriptional activity. In this thesis\, I investigate protein-DNA-mediated transcriptional regulation across two distinct developmental systems: mouse embryonic stem cells (mESCs) and early Drosophila embryos. \nUsing PP7/PCP live-cell imaging\, I tracked Sox2 transcriptional activity in single mESCs under LIF pathway perturbations (Chapter 2). Removing LIF ligand or inhibiting JAK signaling induced heterogeneous changes in Sox 2 activity\, reducing the number of Sox2-active cells. Transcriptional output in remaining Sox2-active cells decreased\, caused by smaller and less frequent transcriptional bursts. LIF perturbation also decreased the number of pluripotent cells\, with pluripotent marker-positive cells showing higher Sox2 mRNA production. Moreover\, Sox2 transcription displayed transcriptional memory\, with active mother cells more likely to reactivate Sox2 in daughter cells\, even under signaling disruption. These findings reveal quantitative aspects of Sox2 regulation essential for pluripotency maintenance. \nIn early Drosophila embryos\, I investigated how the dosage of the transcription factor Dorsal (Dl) and TF binding sites affinity govern the spatial and temporal regulation of the snail (sna) gene (Chapter 3). Surprisingly\, reducing the level of Dl\, normally an activator of sna\, led to increased sna transcriptional activity. This inverted dosage effect is mediated by the autoregulation of the Sna repressor. Reduced Dl initially decreases Sna protein production\, which in turn reduces autorepressive feedback on the sna gene\, leading to compensatory increases in sna transcription. Increasing Dl binding sites affinity within sna enhancers also reduced sna transcriptional activity and altered bursting behavior. Finally\, we showed that Sna-mediated autorepression modulates enhancer responsiveness in a dosage- and context-dependent manner. \nTogether\, this work reveals how transcriptional feedback mechanisms can modulate gene expression outputs beyond the direct effects of TF input levels. Together\, these studies demonstrate how examining gene regulatory dynamics across distinct biological systems can uncover fundamental principles of transcriptional control and inform strategies for targeted modulation of gene expression in biomedical research. \nZoom Information: \nMeeting ID: 925 5127 1427 \nPasscode: 335045
URL:https://seasevents.nmsdev7.com/event/cbe-doctoral-dissertation-defense-quantitative-transcriptional-regulation-through-protein-dna-interactions-in-developing-systems-gaochen-jin/
LOCATION:Towne 225
CATEGORIES:Doctoral,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
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