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Students not meeting the required GPA after the spring semester shall have both Summer Sessions to achieve such. Texas State Universitys Roadmap charts the path for keeping our community safe and our students advancing toward their educational goals. At Texas State, were driven to make a difference. Our cutting edge infrastructure and robust undergraduate research programs support inventive minds from Day One. With curiosity and persistence, we tackle big problems and come up with solutions to make things better for Texans and the world. TXST cyber security specialist Mina Guirguis defends AI enhanced machines, like self driving cars or power plants, from hackersTXST cyber security specialist Mina Guirguis defends AI enhanced machines, like self driving cars or power plants, from hackersTXST cyber security specialist Mina Guirguis defends AI enhanced machines, like self driving cars or power plants, from hackersWe're the most beautiful university in Texas and the most welcoming community, too. See why 38,000+ students like you are proud to call this place home. The invisible labor done by professors of color is not usually rewarded with tenure and promotion. But it is more important now than ever. The spate of racialized attacks on college campuses after the election are, in some ways, the flip side of the protests that sprung up across the country starting last fall. Then, students of color called for their schools to develop more inclusive climateswith big stories breaking from campuses like the University of Missouri and Princetonand pressed elite institutions to confront the racist histories of the leaders they enshrine.



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Every day our award winning teachers and staff strive to help our students learn, grow, and challenge themselves in every way possible, while paying attention to the whole child. Regardless of the changes in the world around us, we continue to provide a comprehensive education for all Adams students. Instruction continues in all core academic areas, including Reading, Writing, Math, Science, and Social Studies, and our students will also enjoy Art, Music, Physical Education, and World Language classes. Assessing and moving students forward in Reading, Writing, and Math, after all of the changes last school year, will be a primary focus for us in 2020 21. We have worked very hard to put into place safety protocols and support systems to ensure the physical and emotional safety of all of our students, teachers, and staff. Meeting the social emotional needs of our students, both in person and online, is paramount. We are blessed with a diverse, wonderful community that supports the education of our students. Your partnership with us is vital. We look forward to seeing your children arrive every day, and thank you for the opportunity to work with them, to help them grow. The IT department is excited to announce that we are changing helpdesk systems on Wednesday, September 30th to TeamDynamix. This new system enables us to provide you more timely service and information.



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D. Pearlson3,41The Mind Research Network, Albuquerque, NM 871062Dept of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 871093Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT 061064Dept. of Psychiatry, Yale University, New Haven, CT 06520Correspondence: Vince Calhoun, Ph. D. , The Mind Research Network, Albuquerque, NM 87106, Ph: 505 272 1817, Email: fMRI interpretive methods rest on a priori hypotheses about the time courses of component brain functions that comprise the experimental task, and frequently reflect experimenters assumptions about the functional capacities of particular brain regions and how they act individually versus collectively. For a complex behavior like driving, these assumptions may be questioned; additional complexities exist because multiple brain circuits are not only activated simultaneously, but in a complex manner where a particular region may contribute differentially to several circuits. The multiple responses of skilled driving overlap and interact in ways that make modeling their time course uncertain. Accordingly, we explore the application of a data driven approach, independent component analysis ICA, in this complex behavioral context. ICA extracts covarying ensembles of voxel time courses without needing an a priori specification of onsets and offsets. Rather, the onsets and offsets are compared to the time courses estimated using ICA. In our analysis we use group ICA, an approach pioneered by our group, which produces subject specific maps and timecourses Calhoun, et al.

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