Clayton State Digital Repository
Not a member yet
    1706 research outputs found

    Asterix Omnibus #7: Asterix and the Soothsayer, Asterix in Corsica, Asterix and Caesar's Gift

    No full text
    Contains 3 newly-translated classic Asterix tales. Asterix is a fearless Gaul with a magic potion that grants him incredible strength to protect his village and ward off Roman Empire from invading. With his pal, Obelix, the two defend their village from not only the blundering Roman legionairies, but other odd threats as well. First, a fortune telling Soothsayer has the village under his soothing predictions, but Asterix isn’t buying it. Predict who will win in a battle of words between “Asterix and the Soothsayer.” Second, visit “Asterix in Corsica” as he and Obelix must help Chief Boneywasawarriorwayayix to foil the evil designs of Praetor Perfidius and oppose Julius Caesar’s army. Finally, “Ceasar’s Gift” is delivered to the village, a deed to the village itself! Will the village fall under the control of the wrong hands? Includes a new afterword by Alexander Simmons providing historical and cultural context for Asterix, both in 50 B.C. and in the time the classic comics were made addressing various racial depiction

    Review of What Difference Does It Make?: A Film About Making Music

    No full text
    Media Revie

    An Improved Scoring Method for Multiple Sequence Alignment

    No full text
    Abstract—One of the most fundamental operation in biological sequence analysis is multiple sequence alignment(MSA). Optimally aligning multiple sequences is an intractable problem [1], however, it is a critical tool for biologists to identify the relationships between species and also possibly predict the structure and functionality of biological sequences. The most fundamental step of assembling MSA results is identifying the best location to place the sequence residues. And the accuracy of the sequence assembly depends heavily on the reliability of a scoring function used. With an appropriate scoring function, an MSA program can boost its accuracy of multiple sequence alignment up to 25% [2]. In this study, we present a new, fast, and biologically reliable scoring method, (Hierarchical Expected matching Probability [HEP]), to use in protein multiple sequence alignment. The new scoring method eliminates the burden of gap cost selection process. And it has consistently proven to be more biologically reliable than all other tested scoring methods through all tests on four different theoretical and experimental benchmarks, Valdar’s theoretical conservation benchmark [3], RT-OSM [4], BAliBASE3.0 [5], and PREFAB4.0 [6]. An implementation of our new scoring method into progressive multiple sequence alignment, resembling the alignment algorithm in PIMA [7], ClustalW [8] and T-COFFEE [9], has shown an accuracy improvement up to 7% on BAliBASE3.0 and up to 5% on PREFAB4.0 benchmarks

    Teachers Can Theorize Too!: B. Kumaravadivelu's Beyond Methods: Microstrategies for Language Teaching

    No full text
    The article rejects the notion of the teacher/ theorize dichotomy by demonstrating how language teachers often espouse the most practical pedagogical theories because of their constant contact with language learners

    12

    full texts

    1,706

    metadata records
    Updated in last 30 days.
    Clayton State Digital Repository
    Access Repository Dashboard
    Do you manage Open Research Online? Become a CORE Member to access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard! 👇