I got following URLs for downloading some java ebooks freely.
JDJ - June 2007
JDJ - 2007 June issuePDF | 9.5 MBformerly Java Developer's Journal
Taming Java Threads
Description:Learning how to write multithreaded applications
Inside the Java Virtual Machine (Java Masters Series)
For the advanced Java developer, Inside the Java 2 Virtual Machine offers
Enterprise Java 2 Security: Building Secure and Robust J2EE Applications
Monday, January 14, 2008
Friday, January 11, 2008
What is Mesothelioma International
Mesothelioma International is dedicated to the fight against mesothelioma – a worldwide health crisis with roots in humanity's use of asbestos. Although the use of asbestos has now been banned in the European Union, it is estimated that 250,000 workers in Western Europe alone will have died from mesothelioma by 2029. It is our hope that this website will be helpful to those throughout Europe who have been affected by this epidemic.
Mesothelioma is a rare and virulent form of cancer that affects the lining of the lung, lining of the abdominal cavity or lining around the heart. Mesothelioma is caused by exposure to asbestos, and occurs in those who have breathed in asbestos fiber, in many cases 20 to 50 or more years ago. Some were exposed on their jobs; others were exposed secondarily through family members who without their knowledge, brought fiber home on their work clothes or on their hair or skin.
Despite the serious nature of the disease, there is hope. Every year, doctors and scientists worldwide are developing new treatments and making new discoveries that help to improve the chance of survival and the patient’s quality of life. This website, Mesothelioma International, helps patients and their family members connect with the resources they need to be informed and make the best decisions on their potential treatment and care. for more information seeTuesday, January 1, 2008
How Do We Evaluate Artificial Immune Systems?
What is an artificial immune system (AIS)? One answer is that an AIS is a model of the immune system that can be used by immunologists for explanation, experimentation and prediction activities that would be difficult or impossible in ‘wet-lab’ experiments. This is also known as ‘computational immunology.’ Another answer is that an AIS is an abstraction of one or more immunological processes. Since these processes protect us on a daily basis, from the ever-changing onslaught of biological and biochemical entities that seek to prosper at our expense, it is reasoned that they may be computationally useful. It is this form of AIS—methods based on immune abstractions—that will be studied here.
Although AIS is a relatively young field, advancing on many fronts, some central themes have become apparent—the question is, are these AIS delivering anything useful, or are they just another addition to the increasingly long line of approaches that are biologically inspired? These approaches include established paradigms such as genetic and evolutionary computation (GEC), artificial neural networks (ANN) and various forms of artificial life; as well as less established topics such as ant colony dynamics (Dorigo, 1992; Dorigo, 1999) and cell membrane computing (Paun, 2002). The intention here is to provide an assessment of prior developments in AIS, its current strengths, weaknesses and its overall usefulness.
Perhaps the biggest difficulty faced by AIS is that it has few application types for which it is undisputedly the most effective method. Despite the many points in its favor, this single point is enough to allow it to be ignored by many. Although two important areas have been identified in which AIS is unique in its ability to provide solutions, further impressive demonstrations of effectiveness will be required if AIS is to be pushed to the fore.
Although AIS is a relatively young field, advancing on many fronts, some central themes have become apparent—the question is, are these AIS delivering anything useful, or are they just another addition to the increasingly long line of approaches that are biologically inspired? These approaches include established paradigms such as genetic and evolutionary computation (GEC), artificial neural networks (ANN) and various forms of artificial life; as well as less established topics such as ant colony dynamics (Dorigo, 1992; Dorigo, 1999) and cell membrane computing (Paun, 2002). The intention here is to provide an assessment of prior developments in AIS, its current strengths, weaknesses and its overall usefulness.
Perhaps the biggest difficulty faced by AIS is that it has few application types for which it is undisputedly the most effective method. Despite the many points in its favor, this single point is enough to allow it to be ignored by many. Although two important areas have been identified in which AIS is unique in its ability to provide solutions, further impressive demonstrations of effectiveness will be required if AIS is to be pushed to the fore.
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