of conceptual tools that are directly useful in guiding the implementation and evaluation of work redesign projects. In the paragraphs to follow, we examine several existing theoretical approaches to work redesign, with a special eye toward the measurability of the concepts employed and the action implications

of the problem, the state-of-the-art technologies, and the current assessment metrics used to evaluate learning performance under the imbalanced learning scenario. Furthermore, in order to stimulate future research in this field, we also highlight the major opportunities and challenges, as well as potential

The Android platform lacks tools for assessing and monitoring apps in a systematic way. This lack of tools is particularly problematic when combined with the open nature of Google Play, the main app distribution channel. As our key contribution, we design and implement ProfileDroid, a comprehensive

that it can be an effective and usable tool for improving the assessment of pain. Participant experiences indicated that the application was easy to use and the potential of the application was similarly appreciated by the clinicians involved in the evaluation. Our findings may be of considerable interest

Bytecode rewriting on Android applications has been widely adopted to implement fine-grained access control. It endows more flexibility and convenience without modifying the Android platform. Bytecode rewriting uses static analysis to identify the usage of security-sensitive API methods, before

analysis tools as an aid to assess how apps use private user data. Those tools, however, rely on the manual configuration of lists of sources of sensitive data as well as sinks which might leak data to untrusted observers. Such lists are hard to come by. We thus propose SUSI, a novel machine

and explore novel and easily extractable attribute called String Offset Order. Extractable from string identifiers list in the .dex file, the method is able to pinpoint symptoms of reverse engineered Android apps without the need for complex further analysis. We performed extensive evaluation of String Order

and visualization, with perspectives emerging from a wide range of disciplines and application contexts. In this paper, we review and assess progress toward visual tools and methods to help analysts manage and understand information uncertainty. Specifically, we report on efforts to conceptualize uncertainty

analysis and a list of principles that might be used as a tool for designing, selecting, or assessing activities. Educational Researcher, Vol. 20, No. 4, pp. 9-23 C ertain roles and functions are basic to teaching, whatever the grade level or subject matter: manag-ing the classroom and motivating students

correlation and regression coefficients, evaluation of multitrait-multimethod matrices, and as-sessment of hypothesized causal structures. Shortcomings of these methods are commonly acknowl-edged in the mathematical literature and in textbooks. Nevertheless, serious flaws remain in many published applications