The author reviews assessment research on posttraumatic stress disorder (PTSD) in children and adolescents. Assessment methods covered include structured i... Richard J. McNally - 《Journal of School Psychology》 被引量: 155发表: 1996年 College-Bound Seniors, 1972-73. Comprehensive records of all ...
1. One can see the formation of a pocket near the surface caused by the formation of an α-like cluster. The sharp kink at the critical radius rcrit=3.302 fm is a consequence of the local approximation for the Pauli blocking term. A smooth behavior is expected if the finite extension ...
Therefore, one should expect a negative correlation between the final state quarks that originate from the initial state ones. On the other hand, the correlation between the gluons is found to be long range in rapidity since the CGC wave function is dominated by the rapidity integrated soft ...
When all the unhealthy physical statuses were classified as one “unhealthy” status together, our algorithm also provided good predictions: f1-score (95%CI) 0.83 (0.83–0.83); accuracy (95%CI) 0.82 (0.82–0.82); specificity (95%CI) 0.81 (0.81–0.81); sensitivity (95%CI) 0.84 (0.84–...
Early childhood education Summer School Correlation to Reading Lexile Levels of African American Students in a Low Socio-Economic Area in Grades One through Four LINDENWOOD UNIVERSITY Rebecca Panagos BellChannieThe achievement gap between African American students and other races was continuously widening. ...
One exciting avenue is to use fluorescence as a cue for the specific structure of interest and co-localize that structure in QPI. This way, the cell dynamic behavior can be monitored over arbitrar- ily large temporal scales. Materials and Methods Spatial Light Interference Microscopy (SLIM). ...
Dear Drs. Muthen & Muthen, we have a three-level datafile with student-report data at L1, nested within classroom observational data at L2, nested within school-level observational and archival data at L3. Each student has only one classroom observation, whereas each school has multiple classroo...
Using Eq. 10, one can prove that the mutual information has the following 3 upper bounds: MI(dx,dy)≤min(Entropy(dx),Entropy(dy)), (11) MI(dx,dy)≤Entropy(dx)+Entropy(dy)2, (12) MI(dx,dy)≤max(Entropy(dx),Entropy(dy)). (13) Using Eq. 6 with β = 1, lower bounds...
Traditional methods for solving the XMTC task can be roughly divided into the following three main categories: one-versus-all methods, embedding-based methods and tree-based methods. Similar to the straightforward strategy for solving multi-label classification, one-versus-all methods learn a subclass...
As one can see from Fig. 6, the ROC curve's position depends on the choice of parameters θ and L. In this respect our classifier performs better for low values of L and θ. This can be quantified by measuring the area under the ROC curve; such measure, often denoted by AUC37, ...