Despite repeated calls for the use of “mixed methods” in comparative analysis, political scientists have few systematic guides for carrying out such work. This paper details a unified approach which joins intensive case-study analysis with statistical analysis. Not only are the advantages of each approach combined, but also there is a synergistic value to the nested research design: for example...

We study the problem of assigning indivisible and heterogenous objects (e.g., houses, jobs, offices, school or university admissions etc.) to agents. Each agent receives at most one object and monetary compensations are not possible. We consider mechanisms satisfying a set of basic properties (unavailable-type-invariance, individual-rationality, weak non-wastefulness, or truncation-invariance)....

Big data analysis includes many theories and methods for prediction system. Statistical methods such as Person’s correlation, Regression analysis and Rough Set Theory etc are being used for predicting facts. Also theory like collaboration filtering uses word’s filtering to predict and provide recommendations. We have studied all these methods and selected most appropriate method for student’s p...

The transformation of traditional offline operations into digitally integrated offline-online environment has been a difficult challenge for firms from both operational and strategic perspectives, and has become a major topic of research for scholars. We conducted a comparative case study to explore an emerging trend – the convergence of offline and online operations and strategies. This study ...

Evolution Strategies (ES) have recently been demonstrated to be a viable alternative to reinforcement learning (RL) algorithms on a set of challenging deep RL problems, including Atari games and MuJoCo humanoid locomotion benchmarks. While the ES algorithms in that work belonged to the specialized class of natural evolution strategies (which resemble approximate gradient RL algorithms, such as ...

BACKGROUND Comparative genomics resources, such as ortholog detection tools and repositories are rapidly increasing in scale and complexity. Cloud computing is an emerging technological paradigm that enables researchers to dynamically build a dedicated virtual cluster and may represent a valuable alternative for large computational tools in bioinformatics. In the present manuscript, we optimize...

We present a new segmentation approach by thresholding based on learning strategy. This strategy is based only onto one image and its ideal thresholded version. A decision matrix is generated from each pixel and each gray level. At the moment of new images segmentation, the best solution for each pixel is evaluated by means of K Nearest Neighbors in the decision matrix. Comparative tests were p...

BACKGROUND The objective was to systematically review comparative economic analyses of patient safety improvements in the acute care setting. METHODS A systematic review of 15 patient safety target conditions and six improvement strategies was conducted. The authors searched the published literature through Medline (2000-November 2011) using the following search terms for costs: 'costs and co...

Comparative analysis is a mode of research, that due to its outstanding merits is widely used within many fields of scientific inquiry. Focusing on its application in historical research, this article aims to contribute to a more systematic discussion of some of the methodological strategies associated with this mode of analysis. For this purpose, this article presents first a few typologies re...

We study a model of war in which the outcome is uncertain not because of luck on the battlefield (as in standard models), but because the involved countries lack information about their opponent. In our model their production and military technologies are common knowledge, but their resources are private information. Each country decides how to allocate its resources to production and warfare. ...