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This hands-on introduction to Swing, the first in a two-part series on Swing programming, walks through the essential components in the Swing library. Java developer and Swing enthusiast guides you through the basic building blocks and then assists as you build basic but functional Swing application. Along the way you'll learn how to use models to ease the process of dealing with the data. Most Swing developers know by now that Swing components have a separable model-and-view design. And many Swing users have run across articles saying that Swing is based on something called a "modified MVC (model-view-controller) architecture."

But accurate explanations of how Swing components are designed, and how their parts all fit together, have been hard to come by -- until now. The silence ends with the publication of this article, a major white paper on Swing component design. It provides a comprehensive technical overview of Swing's modified MVC structure and demystifies many other facets of Swing component architecture as well.Now swing has been replaced by javafx,which has been introduced from jdk-1.5.



A flood of data means that many of the challenges in biology are now challenges in computing. Bioinformatics, the application of computational techniques to analyse the information associated with biomolecules on a large-scale, has now firmly established itself as a discipline in molecular biology, and encompasses a wide range of subject areas from structural biology, genomics to gene expression studies. In this review we provide an introduction and overview of the current state of the field. We discuss the main principles that underpin bioinformatics analyses, look at the types of biological information and databases that are commonly used, and finally examine some of the studies that are being conducted, particularly with reference to transcription regulatory systems.



This paper describes the problems and explores potential solutions for providing long term storage and access to research outputs, focusing mainly on research data. The ready availability of cloud storage and compute services provides a potentially attractive option for curation and preservation of research information. In contrast to deploying infrastructure within an organisation, which normally requires long lead times and upfront capital investment, cloud infrastructure is available on demand and is highly scalable. However, use of commercial cloud services in particular raises issues of governance, cost-effectiveness, trust and quality of service. We describe a set of in-depth case studies conducted with researchers across the sciences and humanities performing data-intensive research, which demonstrate the issues that need to be considered when preserving data in the cloud. We then describe the design of a repository framework that addresses these requirements. The framework uses hybrid cloud, combining internal institutional storage, cloud storage and cloud-based preservation services into a single integrated repository infrastructure. Allocation of content to storage providers is performed using on a rules-based approach. The results of an evaluation of the proof-of-concept system are described.



This abstract will consist of introduction to quick sort and radix sort algorithms. The introduction will consist of some description about history of these algorithms and definitions. Description of each algorithm with examples. Comparison of both the algorithms. Average case and worst case analysis of algorithms. The goal of this lecture is to familiarize students with sorting techniques and help them understand what scenarios are suitable for implementing these techniques. Help them better understand limitations of sorting algorithms and make them think analytically how to use these techniques in efficient manner. 



C++ strongly supports the concept of Reusability. The C++ classes can be reused in several ways. Once a class has been written and tested, it can be adapted by another programmer to suit their requirements. This is basically done by creating new classes, reusing the properties of the existing ones. The mechanism of deriving a new class from an old one is called inheritance. The old class is referred to as the base class and the new one is called the derived class or subclass. A derived class includes all features of the generic base class and then adds qualities specific to the derived class.