Taming a wild beast: Developing molecular tools and new methods to understand the biology of Zymoseptoria tritici

on the comparison of keyword and semantic-context methods of learning new vocabulary meaning

the rationale behind the present study is that particular learning strategies produce more effective results when applied together. the present study tried to investigate the efficiency of the semantic-context strategy alone with a technique called, keyword method. to clarify the point, the current study seeked to find answer to the following question: are the keyword and semantic-context metho...

Taming the Beast Within

Weed genomics: new tools to understand weed biology.

In spite of the large yield losses that weeds inflict on crops, we know little about the genomics of economically important weed species. Comparative genomics between plant model species and weeds, map-based approaches, genomic sequencing and functional genomics can play vital roles in understanding and dissecting weedy traits of agronomically important weed species that damage crops. Weed geno...

Taming the Metadata Beast: ILOX

We propose a framework for organizing multiple metadata specifications in a container that can be handled as a whole. This framework, named Information for Learning Object eXchange (ILOX), is developed as part of the IMS Learning Object Discovery & Exchange (LODE) specification that aims to facilitate the discovery and retrieval of learning objects stored across more than one collection. While ...

Taming the Static Analysis Beast

While industrial-strength static analysis over large, real-world codebases has become commonplace, so too have difficult-to-analyze language constructs, large libraries, and popular frameworks. These features make constructing and evaluating a novel, sound analysis painful, errorprone, and tedious. We motivate the need for research to address these issues by highlighting some of the many challe...