1,651 research outputs found
Large cognitive fluctuations surrounding sleep in daily living
No full textReto Huber and Arko Ghosh (2021) iScienc
Large cognitive fluctuations surrounding sleep in daily living
No full textReto Huber and Arko Ghosh (2021) iScienc
Writers Talk Featuring Sonya Huber
No full textSonya Huber, 2004 graduate of OSU's MFA Creative Writing Program, currently an assistant professor at Georgia Southern University. Author of "The Backwards Research Guide for Writers," "Opa Nobody," and most recently "Cover Me: A Health Insurance Memoir."The media can be accessed here: http://streaming.osu.edu/knowledgebank/cstw12/WT_WCRS_11-08-10_SonyaHuber.mp3Ohio State University. Center for the Study and Teaching of Writin
Traumatismos de colon e reto.
No full textTrabalho de Conclusão de Curso - Universidade Federal de Santa Catarina, Centro de Ciências da Saúde, Departamento de Clínica Cirúrgica, Curso de Medicina, Florianópolis, 198
Tipps und Tricks in der Behandlung offener Handverletzungen in der Notfallpraxis
No full textTreatment of acute injuries of the hand Abstract. Injuries to the hand are a common presentation in primary care units. When accurately assessed, many open injuries may be handled in the emergency department without referral to a hand surgery specialist. We would like to give some recommendations on how to treat the most frequent injuries like lesions to the nail and nailbed, fingertip amputation as well as burns, infections and bites. But first, we highlight the different methods of local anesthesia and discuss the use of a tourniquet or vasoconstriction with adrenalin - WALANT - instead
Robust Linear and Support Vector Regression
No full textThe robust Huber M-estimator, a differentiable cost function that is quadratic for small errors and linear otherwise, is
modeled exactly, in the original primal space of the problem, by an easily solvable simple convex quadratic program for both linear and
nonlinear support vector estimators. Previous models were significantly more complex or formulated in the dual space and most
involved specialized numerical algorithms for solving the robust Huber linear estimator [3], [6], [12], [13], [14], [23], [28]. Numerical test
comparisons with these algorithms indicate the computational effectiveness of the new quadratic programming model for both linear
and nonlinear support vector problems. Results are shown on problems with as many as 20,000 data points, with considerably faster
running times on larger problems
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