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https://guides.temple.edu/c.php?g=936400&p=6879972
REDCap allows users to schedule when surveys go out to participants and it is very customizable, even down to setting particular schedules for individual participants. First, you will need to enable a few things in Project Setup: Use surveys in this project, longitudinal data collection with defined events, repeatable instruments and events, and scheduling module. (I’ve highlighted them all ...
https://boyer.temple.edu/directory/elizabeth-cassidy-parker
Paper presentation at AERA in Vancouver, BC. Parker, E. C. (2011, September). The experience of creating community: An intrinsic case study of four midwestern public school choral teachers. Paper presentation at the Society for Music Teacher Education Conference in Greensboro, NC. Parker, E. C. (2011, April).
https://cis.temple.edu/~latecki/Courses/AI-Fall12/Lectures/GreatMatrixIntro.pdf
Readers who feel a little uncomfortable with matrices might wish to review Chapter 7 before proceeding further. THE GEOMETRY OF VECTORS AND MATRICES There are numerous excellent texts on matrix algebra, so we will make little ef- fort to prove most of the results given below.
https://sites.temple.edu/sserrano/files/2020/08/12-Modeling-Infiltration-with-Approximate-Solutions-of-Richards-Equation.pdf
x u'ui1~ub2ui! erfc (28 ) 8 F 4 E01 E11E2!tG A ~ Fig. 1 shows the water content versus distance according to Eq. 28 , Philip ! 1955 , Parlange 1971 , and experimental obser- ~ ~ ! ~ ! vation at t 1 h. Fig. 2 shows the same situation at t 3 h. Eq.
https://cis.temple.edu/~jiewu/research/publications/Publication_files/WENJUNJIANG2021TWeb.pdf
Algorithm 2 EMC-RS: The aspect-based EMC-review selection algorithm Input: Set of reviews and aspect set ; Eficiency function Ef; parameters , Output: A set of reviews ∗ ⊆ ∗ 1: ←− ∅ 2: while ( ∗) <| | do 3: Initialize two dictionaries and
https://cis.temple.edu/~latecki/Papers/GIFT-IEEEMM2017.pdf
In summary, we call the feature in (12) Aggregated Contextual Activation (ACA). Next, we will introduce some improvements of (12) concerning its retrieval accuracy and computational ef-ficiency. 1) Improving Accuracy: Similar to diffusion process, the proposed ACA requires an accurate estimation of the context in the data manifold.
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Paper%206190%20Camera%20Ready%20Version.pdf
Therefore, sharing com- mon prototypes to leverage data from other clients is an ef- fective strategy. Inspired by this, we introduced prototype alignment in our FedAvg and FedRep experiments to ensure global prototype consistency across classes, improving gen- eralization.