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        "datetime_modified":"20210602T135602",
        "datetime_start":"20210722T130000",
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        "time_start":"13:00:00",
        "time_end":"14:00:00",
        "time_zone":"America\/Detroit",
        "event_title":"UROP Summer Virtual Office Hours",
        "occurrence_title":"",
        "combined_title":"UROP Summer Virtual Office Hours",
        "event_subtitle":"",
        "event_type":"Livestream \/ Virtual",
        "event_type_id":"24",
        "description":"UROP Staff will be available during the summer via Zoom office hours to answer questions from those who drop in. No appointment necessary.\r\n\r\nWednesdays (1-2pm ET)\r\nThursdays (1-2pm ET)\r\nFriday (11:30am - 12:30pm ET)\r\nhttps:\/\/myumi.ch\/1p1d3\r\n\r\nThe Undergraduate Research Opportunity Program (UROP) offers several different programs throughout the academic year for University of Michigan-Ann Arbor undergraduate students to discover the world of research through collaborations with U-M researchers. Students participating in the program are called research assistants and work alongside a faculty member, research scientist or professional practitioner on an ongoing or new research project.",
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                "guid":"84176-21620729@events.umich.edu",
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        "tags":["Undergraduate","Admissions","AEM Featured","Applications","first-generation","Free","Interdisciplinary","Office Hours","Research","Undergraduate Students","Urop","Virtual"],
        "website":"https:\/\/lsa.umich.edu\/urop\/Prospective-Students\/fall-winter-programs.html",
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    {
        "datetime_modified":"20210713T134702",
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        "event_title":"BME Ph.D. Defense: Yuan Li",
        "occurrence_title":"",
        "combined_title":"BME Ph.D. Defense: Yuan Li: Investigation of High Order Diffusion Models in Glioblastoma by  Exploring High b-value, Echo time (TE), and Diffusion Time",
        "event_subtitle":"Investigation of High Order Diffusion Models in Glioblastoma by  Exploring High b-value, Echo time (TE), and Diffusion Time",
        "event_type":"Presentation",
        "event_type_id":"16",
        "description":"Glioblastoma (GBM) is the most common and aggressive primary brain tumor in adults and has a poor prognosis with a median survival of approximately 14 months. Clinical standard assessment of therapy response and tumor progression is based upon post-contrast T1-weighted (T1W) and fluid-attenuated inversion recovery (FLAIR) T2-weighted (T2W) magnetic resonance images (MRI).\u00a0 However, contrast enhancement observed on the post-contrast T1W MRI is affected not only by tumor growth but also effects of radiation, anti-angiogenesis drugs and chemotherapy, due to the fact that it represents blood-brain barrier disruption. Another problem is that abnormality on T2W FLAIR images is influenced by T2 changes of tumor cells as well as edema and necrosis that always co-exist within GBM. Diffusion weighted (DW) imaging has been proposed to overcome these limitations. Conventional DW images quantify apparent diffusion coefficient (ADC) with b-values between 0 and 1000 s\/mm2\u00a0using a mono-exponential decay. One limitation is that co-existence of edema in clinical GBM elevates ADC.\r\n\u00a0\r\nIn diffusion MRI, there are three dimensions of parameter spaces that we could explore in research \u2014b value, diffusion time (t) and echo time (TE). Hence, we investigated and developed high order diffusion models in these three spaces and evaluated whether they could reveal more features of GBM.\r\n\u00a0\r\nIn the b-value space, we investigated a microstructure model (MSM), in which modulation of diffusion gradient with cell size is considered, with high b-value diffusion images in the patients with GBM pre-radiation therapy (RT). We found apparent cell size (ARS), extracellular diffusion coefficient (Dex) and intracellular fractional volume (Vin) in tumor were significantly greater than ones in normal tissue and edema. In addition, we investigated diffusion kurtosis imaging (DKI) in GBM pre-RT and mid-RT, and found pre-RT mean kurtosis of the tumor could provide a predictive value of overall survival (OS) additional to clinical prognostic factors.\r\n\u00a0\r\nIn the TE space,\u00a0T2-Relaxation-Diffusion correlation experiments can be powerful in resolving water compartments with respect to their size and chemical composition, but the problem is ill-posed.\u00a0We\u00a0simplified the T2-Relaxation-Diffusion correlation to consider the T2 values and diffusion coefficients in a 2x2 fashion. We found that\u00a0there were significant differences between fast and slow diffusion coefficients and between associated T2 values in tumor, cortex, deep GM, and edema. Multivariate Cox model showed the fractional volume of slow component (Vs) mid-RT may add a predictive value to clinical factors.\r\n\u00a0\r\nIn diffusion time space, we applied three different diffusion times using pulsed diffusion gradients (PG) and oscillating gradients at frequencies of 30 Hz (OS30) and 50 Hz (OS50) using a prototype sequence. Using a random walk with barriers model, we estimated cell diameter, unrestricted diffusion coefficient (D0) at a short time limit, bulk diffusion coefficient (Dinf) at a long time limit, cell membrane permeability and effective restriction in the contrast-enhanced tumor. Those parameters provide microstructural information in the GBM and need to be further investigated and validated with pathology.\r\n\u00a0\r\nPrevious studies have mainly investigated high order diffusion models in prostate cancer and xenograft tumor models, and only a few studies investigated GBM. The current knowledge about the relationship between model parameters and physiological\/pathological features in GBM are still limited. Our research in GBM could lead to better imaging means for GBM diagnosis, tumor target definition for radiation therapy, and therapy response assessment.\r\n\u00a0\r\nDate:\u00a0Thursday, July 22, 2021\r\nTime:\u00a02:00 PM\r\nZoom:\u00a0https:\/\/umich.zoom.us\/j\/96213084276\r\n\r\nChair:\u00a0Dr. Yue Cao",
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        "tags":["Michigan Engineering","biomedical","biomedical engineering","bme","engineering","Medicine"],
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        "datetime_modified":"20210506T120852",
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        "time_start":"14:00:00",
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        "time_zone":"America\/Detroit",
        "event_title":"CoderSpaces (Thursdays)",
        "occurrence_title":"",
        "combined_title":"CoderSpaces (Thursdays): Drop-in, Virtual Office Hours",
        "event_subtitle":"Drop-in, Virtual Office Hours",
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        "event_type_id":"14",
        "description":"Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\r\n\r\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces, Mondays \u2013 Thursdays, during the Summer 2021 term to get research support and connect with others.\r\n\r\nThe virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.\r\n\r\nOur hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.\r\n\r\nCoderSpaces provide a casual, productive, and inclusive environment. Everyone is welcome regardless of skill level.\r\n\r\nThursdays 2-3:30 p.m.\r\nJoin via Zoom* (https:\/\/umich.zoom.us\/j\/99436245948)\r\n*Users will have to sign in with their UMICH (Level-1) credentials.\r\n\r\nwith Bennet Fauber (ARC), Bridget Hegarty (CEE), Erin Ware (SRC\/ISR), Kelly Sovacool (DCMB)\r\n\r\nExpertise: automation of tasks and workflows, Bash, batch scripting, data management, Git, GitHub, high performance computing, installing software on University clusters, Linux, math for data science, Python, R, R Markdown, R tidyverse, SAS, Slurm, Snakemake, statistical modeling",
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        "tags":["Office Hours","Data Science","Information And Technology"],
        "website":"https:\/\/datascience.isr.umich.edu\/events\/coderspaces\/",
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