996 resultados para Family trees


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The collection holds original official documents pertaining to the ancestors of Hermann Deutsch, such as his father, Hugo Deutsch, and his grandfather, Simon Deutsch, and the last will and testament of Abraham Nathan Meyer, great-grandfather of Hermann Deutsch. Also included are documents for Hermann Boehm. There is a printed obituary by Hugo Preuss for Hugo Deutsch and the copy of a 1938 document, declaring the end of the Simon Boehm company.

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Vital documents of the Jacobs family: marriage certificate (1907); military certificate (1899); birthday poem for Selig Loewenstein (1926); school certificates; birth certificate.

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Album contains genealogical information

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History of the Oppenheimer Family from Oppenheim and Worms; essay is built around 'seven remarkable Oppenheimers' since the year 1400.

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PURPOSE To develop and test decision tree (DT) models to classify physical activity (PA) intensity from accelerometer output and Gross Motor Function Classification System (GMFCS) classification level in ambulatory youth with cerebral palsy (CP); and 2) compare the classification accuracy of the new DT models to that achieved by previously published cut-points for youth with CP. METHODS Youth with CP (GMFCS Levels I - III) (N=51) completed seven activity trials with increasing PA intensity while wearing a portable metabolic system and ActiGraph GT3X accelerometers. DT models were used to identify vertical axis (VA) and vector magnitude (VM) count thresholds corresponding to sedentary (SED) (<1.5 METs), light PA (LPA) (>/=1.5 and <3 METs) and moderate-to-vigorous PA (MVPA) (>/=3 METs). Models were trained and cross-validated using the 'rpart' and 'caret' packages within R. RESULTS For the VA (VA_DT) and VM decision trees (VM_DT), a single threshold differentiated LPA from SED, while the threshold for differentiating MVPA from LPA decreased as the level of impairment increased. The average cross-validation accuracy for the VC_DT was 81.1%, 76.7%, and 82.9% for GMFCS levels I, II, and III, respectively. The corresponding cross-validation accuracy for the VM_DT was 80.5%, 75.6%, and 84.2%, respectively. Within each GMFCS level, the decision tree models achieved better PA intensity recognition than previously published cut-points. The accuracy differential was greatest among GMFCS level III participants, in whom the previously published cut-points misclassified 40% of the MVPA activity trials. CONCLUSION GMFCS-specific cut-points provide more accurate assessments of MVPA levels in youth with CP across the full spectrum of ambulatory ability.