This document describes building a bridge between JADE agent applications and web frontends using JavaServer Faces (JSF) technology. It connects a JSF web application to a proxy agent in JADE. The proxy agent handles user requests by retrieving agent information from the JADE Directory Facilitator and updating the JSF user interface. Business objects like AgentInfo are used to share data between the JSF application and JADE agents. The proxy agent has a cyclic behavior that processes incoming requests by launching one-shot behaviors to interface with the Directory Facilitator and notify the JSF application.
Introduction To Building Enterprise Web Application With Spring MvcAbdelmonaim Remani
This the perfect introduction for people who have absolutely no experience with the Spring framework. The session adopts a learn-by-example approach and takes the form of a practical hands-on-lab with a lot of live coding. Attendees will be presented with a sample web application and various use-case scenarios, they will build an actual Spring MVC web application backed by a MySQL database end-to-end, They will Test it, and deploy it on an Apache TomCat web server. The basics of the Spring framework, design patterns, and best practices will be picked up by example along the way. Covered topics include: Inversion of Control (Dependency Injection), Spring MVC, Spring DAO, Spring ORM (iBatis), Aspect Oriented Programming in Spring, Basic Web Security, and the Mail API. Bring your laptop! Prerequisites: Familiarity with the architecture of Java web application and its technologies (Servlets, JSP, Java EL, JSTL, etc... )
Java Spring MVC Framework with AngularJS by Google and HTML5Tuna Tore
Course Description
#springframework, #spring, #udemy, #discount, #programming, #springmvc, spring, #udemycourse, #education
NEW udemy course related to the latest Java Spring MVC Framework 4 for developing WEB applications with popular and proven technologies such as AngularJS by Google and HTML5. (Lectures are divided in three main sections so you don't have to learn AngularJS Framework until you start the last section. The last section will teach you AngularJS by Google and the integration with Java Spring MVC Framework 4)
https://www.udemy.com/java-spring-mvc-framework-with-angularjs-by-google-and-html5
Moreover, this course is designed and created with the mindset of teaching you the latest web technologies in a short period of time with low training cost and high-quality content including real production quality code examples.
Therefore after attending this course, you will be ready to design and develop any commercial Java Spring MVC applications by learning the main principals, best practices, and most important concepts.
Furthermore, this is a fast track course and covers the most important concepts in AngularJS Framework, HTML5 and the latest Java Spring MVC Framework 4x with code examples and sample applications. You will be able to download source codes/slides/diagrams by attending this course and you can use those samples/codes in your applications as well. Therefore, it will be more than enough for you to develop Java Spring MVC applications if you attend this course.
The benefits of attending this udemy course are listed like as below;
You will earn a higher salary hence you will be able to use the latest and productive technologies and this course will also improve the way of your thinking in terms of programming by teaching you dependency injection principle used in Spring MVC and AngularJS
You will be more confident about commercial WEB programming for the following years and general programming concepts as well.
We will only use FREE Open Source Software tools during the development of components in this course.
You will learn the latest Java Spring MVC Framework with hands-on examples
You will learn the usage of AngularJS by Google for developing structured rich client side applications
You will understand the usage of latest useful basic HTML5 tags with code examples
You will gain experience of using CSS(Style Sheets) in web applications
Learn how to develop, test, run and debug Java Spring MVC applications
Learn how to integrate AngularJS with Java Spring MVC framework.
https://www.udemy.com/java-spring-mvc-framework-with-angularjs-by-google-and-html5
#springframework, #spring, #udemy, #discount, #programming, #springmvc, spring, #udemycourse, #education
This session will provide a complete tour of using the Spring MVC framework to build Java Portlets. It will include an in-depth review of a sample portlet application developed using the latest features of Spring MVC, including Annotation-based Controllers. If you are writing Portlets and using Spring, this session is for you.
We'll begin by discussing the unique differences and challenges when developing Portlets instead of traditional Servlet webapps. Then we'll talk about the unique approach that Spring MVC takes towards Portlets that fully leverages the Portlet lifecycle, instead of masking it like many other frameworks. We'll take an extensive tour of a sample application so we can see all the unique pieces of the framework in action. Finally we'll conclude with discussion of the upcoming support for the Portlet 2.0 (JSR 286) specification that will be part of Spring 3.0.
A new Evolutionary Reinforcement Scheme for Stochastic Learning Automatainfopapers
F. Stoica, E. M. Popa, A new Evolutionary Reinforcement Scheme for Stochastic Learning Automata, Proceedings of the 12th WSEAS International Conference on COMPUTERS, Heraklion, Greece, July 23-25, ISBN: 978-960-6766-85-5, ISSN: 1790-5109, pp. 268-273, 2008
Generic Reinforcement Schemes and Their Optimizationinfopapers
Dana Simian, Florin Stoica, Generic Reinforcement Schemes and Their Optimization, Proceedings of the 5th European Computing Conference (ECC ’11), Paris, France, April 28-30, 2011, pp. 332-337
Introduction To Building Enterprise Web Application With Spring MvcAbdelmonaim Remani
This the perfect introduction for people who have absolutely no experience with the Spring framework. The session adopts a learn-by-example approach and takes the form of a practical hands-on-lab with a lot of live coding. Attendees will be presented with a sample web application and various use-case scenarios, they will build an actual Spring MVC web application backed by a MySQL database end-to-end, They will Test it, and deploy it on an Apache TomCat web server. The basics of the Spring framework, design patterns, and best practices will be picked up by example along the way. Covered topics include: Inversion of Control (Dependency Injection), Spring MVC, Spring DAO, Spring ORM (iBatis), Aspect Oriented Programming in Spring, Basic Web Security, and the Mail API. Bring your laptop! Prerequisites: Familiarity with the architecture of Java web application and its technologies (Servlets, JSP, Java EL, JSTL, etc... )
Java Spring MVC Framework with AngularJS by Google and HTML5Tuna Tore
Course Description
#springframework, #spring, #udemy, #discount, #programming, #springmvc, spring, #udemycourse, #education
NEW udemy course related to the latest Java Spring MVC Framework 4 for developing WEB applications with popular and proven technologies such as AngularJS by Google and HTML5. (Lectures are divided in three main sections so you don't have to learn AngularJS Framework until you start the last section. The last section will teach you AngularJS by Google and the integration with Java Spring MVC Framework 4)
https://www.udemy.com/java-spring-mvc-framework-with-angularjs-by-google-and-html5
Moreover, this course is designed and created with the mindset of teaching you the latest web technologies in a short period of time with low training cost and high-quality content including real production quality code examples.
Therefore after attending this course, you will be ready to design and develop any commercial Java Spring MVC applications by learning the main principals, best practices, and most important concepts.
Furthermore, this is a fast track course and covers the most important concepts in AngularJS Framework, HTML5 and the latest Java Spring MVC Framework 4x with code examples and sample applications. You will be able to download source codes/slides/diagrams by attending this course and you can use those samples/codes in your applications as well. Therefore, it will be more than enough for you to develop Java Spring MVC applications if you attend this course.
The benefits of attending this udemy course are listed like as below;
You will earn a higher salary hence you will be able to use the latest and productive technologies and this course will also improve the way of your thinking in terms of programming by teaching you dependency injection principle used in Spring MVC and AngularJS
You will be more confident about commercial WEB programming for the following years and general programming concepts as well.
We will only use FREE Open Source Software tools during the development of components in this course.
You will learn the latest Java Spring MVC Framework with hands-on examples
You will learn the usage of AngularJS by Google for developing structured rich client side applications
You will understand the usage of latest useful basic HTML5 tags with code examples
You will gain experience of using CSS(Style Sheets) in web applications
Learn how to develop, test, run and debug Java Spring MVC applications
Learn how to integrate AngularJS with Java Spring MVC framework.
https://www.udemy.com/java-spring-mvc-framework-with-angularjs-by-google-and-html5
#springframework, #spring, #udemy, #discount, #programming, #springmvc, spring, #udemycourse, #education
This session will provide a complete tour of using the Spring MVC framework to build Java Portlets. It will include an in-depth review of a sample portlet application developed using the latest features of Spring MVC, including Annotation-based Controllers. If you are writing Portlets and using Spring, this session is for you.
We'll begin by discussing the unique differences and challenges when developing Portlets instead of traditional Servlet webapps. Then we'll talk about the unique approach that Spring MVC takes towards Portlets that fully leverages the Portlet lifecycle, instead of masking it like many other frameworks. We'll take an extensive tour of a sample application so we can see all the unique pieces of the framework in action. Finally we'll conclude with discussion of the upcoming support for the Portlet 2.0 (JSR 286) specification that will be part of Spring 3.0.
A new Evolutionary Reinforcement Scheme for Stochastic Learning Automatainfopapers
F. Stoica, E. M. Popa, A new Evolutionary Reinforcement Scheme for Stochastic Learning Automata, Proceedings of the 12th WSEAS International Conference on COMPUTERS, Heraklion, Greece, July 23-25, ISBN: 978-960-6766-85-5, ISSN: 1790-5109, pp. 268-273, 2008
Generic Reinforcement Schemes and Their Optimizationinfopapers
Dana Simian, Florin Stoica, Generic Reinforcement Schemes and Their Optimization, Proceedings of the 5th European Computing Conference (ECC ’11), Paris, France, April 28-30, 2011, pp. 332-337
Intelligent agents in ontology-based applicationsinfopapers
F. Stoica, I. Pah, Intelligent agents in ontology-based applications, Proceedings of the 12th WSEAS International Conference on COMPUTERS, Heraklion, Greece, July 23-25, ISBN: 978-960-6766-85-5, ISSN: 1790-5109, pp. 274-279, 2008
Using the Breeder GA to Optimize a Multiple Regression Analysis Modelinfopapers
Florin Stoica, Cornel Gheorghe Boitor, Using the Breeder genetic algorithm to optimize a multiple regression analysis model used in prediction of the mesiodistal width of unerupted teeth, International Journal of Computers, Communications & Control, Vol 9, No 1, pp. 62-70, ISSN 1841-9836, february 2014
A general frame for building optimal multiple SVM kernelsinfopapers
Dana Simian, Florin Stoica, A General Frame for Building Optimal Multiple SVM Kernels, Large-Scale Scientific Computing, Lecture Notes in Computer Science, 2012, Volume 7116/2012, 256-263, DOI: 10.1007/978-3-642-29843-1_29
A new Reinforcement Scheme for Stochastic Learning Automatainfopapers
F. Stoica, E. M. Popa, I. Pah, A new reinforcement scheme for stochastic learning automata – Application to Automatic Control, Proceedings of the International Conference on e-Business, Porto, Portugal, ISBN 978-989-8111-58-6, pp. 45-50, July 2008
Laura Florentina Stoica, Florian Mircea Boian, Florin Stoica, A Distributed CTL Model Checker, Proceeding of 10th International Conference on e-Business, ICE-B 2013, Reykjavik Iceland, paper 33, 29-31 July, pp. 379-386, ISBN: 978-989-8565-72-3, 2013
Using genetic algorithms and simulation as decision support in marketing stra...infopapers
F.Stoica, L.F.Cacovean, Using genetic algorithms and simulation as decision support in marketing strategies and long-term production planning, Proceedings of the 9th WSEAS International Conference on SIMULATION, MODELLING AND OPTIMIZATION (SMO ‘09), Budapest Tech, Hungary, September 3-5, ISSN: 1790-2769 ISBN:978-960-474-113-7, pp. 435-439, 2009
An Executable Actor Model in Abstract State Machine Languageinfopapers
F. Stoica, An executable Actor model in Abstract State Machine Language, The Proceedings of the International Conference on Computers and Communications, Oradea, ISBN 973-613-542-X, pp. 388-393, 2004
Building a new CTL model checker using Web Servicesinfopapers
Florin Stoica, Laura Stoica, Building a new CTL model checker using Web Services, Proceeding The 21th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2013), At Split-Primosten, Croatia, 18-20 September, pp. 285-289, 2013
DOI=10.1109/SoftCOM.2013.6671858 http://dx.doi.org/10.1109/SoftCOM.2013.6671858
An AsmL model for an Intelligent Vehicle Control Systeminfopapers
F. Stoica, An AsmL model for an Intelligent Vehicle Control System, Proceedings of the 11th WSEAS Int. Conf. on COMPUTERS: Computer Science and Technology, vol. 4, Crete Island, Greece, ISBN: 978-960-8457-92-8, pp. 323-328, July 2007
F. Stoica, D. Simian, C. Simian, A new co-mutation genetic operator, Proceedings of the 9th WSEAS International Conference on Evolutionary Computing, Sofia, Bulgaria, ISBN 978-960-6766-58-9, ISSN 1790-5109, pp. 76-81, May 2008
Deliver Dynamic and Interactive Web Content in J2EE Applicationsinfopapers
F. Stoica, Deliver dynamic and interactive Web content in J2EE applications, Proceedings of the Central and East European Conference in Business Information Systems, Cluj-Napoca, Romania, ISBN 973-656-648-X, pp. 780-789, 2004
Algebraic Approach to Implementing an ATL Model Checkerinfopapers
Laura Florentina Stoica, Florian Mircea Boian, Algebraic Approach to Implementing an ATL Model Checker, STUDIA Univ. Babes Bolyai, INFORMATICA, Volume LVII, Number 2, 2012, pp. 73-82
Modeling the Broker Behavior Using a BDI Agentinfopapers
Laura Florentina Cacovean, Florin Stoica, Modeling the Broker Behavior Using a BDI Agent, Proceedings of the 14th WSEAS International Conference on Computers (CSCC), 22-25 July, 2010, Corfu, Greece, ISSN: 1792-4391, ISBN: 978-960-474-206-6, pp. 699-703
Implementing an ATL Model Checker tool using Relational Algebra conceptsinfopapers
Florin Stoica, Laura Florentina Stoica, Implementing an ATL Model Checker tool using Relational Algebra concepts, Proceeding The 22th International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Split-Primosten, Croatia, 2014
Optimization of Complex SVM Kernels Using a Hybrid Algorithm Based on Wasp Be...infopapers
Dana Simian, Florin Stoica, Corina Simian, Optimization of Complex SVM Kernels Using a Hybrid Algorithm Based on Wasp Behaviour, Lecture Notes in Computer Science, LNCS 5910 (2010), I. Lirkov, S. Margenov, and J. Wasniewski (Eds.), Springer-Verlag Berlin Heidelberg, pp. 361-368
Optimizing a New Nonlinear Reinforcement Scheme with Breeder genetic algorithminfopapers
Florin Stoica, Dana Simian, Optimizing a New Nonlinear Reinforcement Scheme with Breeder genetic algorithm, Proceedings of the Recent Advances in Neural Networks, Fuzzy Systems & Evolutionary Computing,13-15 June 2010, Iasi, Romania, ISSN: 1790-2769, ISBN: 978-960-474-194-6, pp. 273-278
Developing enterprise applications today using JavaFX is a challenge. The industry has not matured enough to identify patterns and practices. Consequently practioners (architects and developers alike) commit the same mistakes again and again. There is a complete lack of non-UI frameworks that make JavaFX application development easy and fast. FxObjects attempts to address that gap. The 0.1 version released provides powerful features.
Laura F. Cacovean, Florin Stoica, Dana Simian, A New Model Checking Tool, Proceedings of the 5th European Computing Conference (ECC ’11), Paris, France, pp. 358-363, April 28-30, 2011
CTL Model Update Implementation Using ANTLR Toolsinfopapers
L. Cacovean, F. Stoica, CTL Model Update Implementation Using ANTLR Tools, Proceedings of the 13th WSEAS International Conference on COMPUTERS, Rodos, Greece, July 23-25, 2009, ISSN: 1790-5109, ISBN: 978-960-474-099-4
Generating JADE agents from SDL specificationsinfopapers
F. Stoica, Generating JADE agents from SDL specifications, International Journal of Computers, Communications & Control, Supplementary Issue, Volume I, ISSN 1841-9836, pp. 429-438, 2006
An evolutionary method for constructing complex SVM kernelsinfopapers
D. Simian, F. Stoica, An Evolutionary Method for Constructing Complex SVM Kernels, Recent Advances in Mathematics and Computers in Biology and Chemistry, Proceedings of the 10th International Conference on Mathematics and Computers in Biology and Chemistry, MCBC’09, Prague, Chech Republic, WSEAS Press, ISBN 978-960-474-062-8, ISSN 1790-5125, pp.172-178, 2009
Evaluation of a hybrid method for constructing multiple SVM kernelsinfopapers
Dana Simian, Florin Stoica, Evaluation of a hybrid method for constructing multiple SVM kernels, Recent Advances in Computers, Proceedings of the 13th WSEAS International Conference on Computers, Recent Advances in Computer Engineering Series, WSEAS Press, Rodos, Greece, July 23-25, 2009, ISSN: 1790-5109, ISBN: 978-960-474-099-4, pp. 619-623
Interoperability issues in accessing databases through Web Servicesinfopapers
Florin Stoica, Laura Florentina Cacovean, Interoperability Issues in Accessing Databases through Web Services, Proceedings of the Recent Advances in Neural Networks, Fuzzy Systems & Evolutionary Computing, 13-15 June 2010, Iaşi, Romania, ISSN: 1790-2769, ISBN: 978-960-474-194-6, pp. 279-284
Using Ontology in Electronic Evaluation for Personalization of eLearning Systemsinfopapers
I. Pah, F. Stoica, L. F. Cacovean, E. M. Popa, Using Ontology in Electronic Evaluation for Personalization of eLearning Systems, Proceedings of the 8th WSEAS International Conference on APPLIED INFORMATICS and COMMUNICATIONS (AIC’08), Rhodes, Greece, August 20-22, ISSN: 1790-5109, ISBN: 978-960-6766-94-7, pp. 332-337, 2008
Models for a Multi-Agent System Based on Wasp-Like Behaviour for Distributed ...infopapers
D. Simian, F. Stoica, C. Simian, Models for a Multi-Agent System Based on Wasp-like Behaviour for Distributed Patients Repartition, Proceedings of the 9th WSEAS International Conference on Evolutionary Computing, Sofia, Bulgaria, ISBN 978-960-6766-58-9, ISSN 1790-5109, pp. 82-86, May 2008
A New Nonlinear Reinforcement Scheme for Stochastic Learning Automatainfopapers
Dana Simian, Florin Stoica, A New Nonlinear Reinforcement Scheme for Stochastic Learning Automata, Proceedings of the 12th WSEAS International Conference on AUTOMATIC CONTROL, MODELLING & SIMULATION, 29-31 May 2010, Catania, Italy, ISSN 1790-5117, ISBN 978-954-92600-5-2, pp. 450-454
Automatic control based on Wasp Behavioral Model and Stochastic Learning Auto...infopapers
F. Stoica, D. Simian, Automatic control based on Wasp Behavioral Model and Stochastic Learning Automata, Proceedings of the 10th International Conference on Mathematical Methods, Computational Techniques & Intelligent Systems, Corfu Island, Greece, ISBN 978-960-474-012-3, pp. 289-294, October 2008
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
1. Building a Web-bridge for JADE agents
Florin Stoica
Abstract — This paper presents the architectural design of
a bridge between agent-oriented applications and web-based
frontends. For this purpose the state-of-the-art JavaServer
Faces (JSF) technology is connected with the JADE platform.
The front-end is based on standard JSF components and the
application tier is based on JADE agents. A simple web
application scenario is implemented, to describe the technical
challenges in developing such a system.
Keywords — agents, JavaServer Faces, JADE.
I. INTRODUCTION
HE work presented in this paper was motivated by the
recognition that JADE, as one of the most widely
deployed open source agent systems, should have the
capability of exposing agent services for consumption by
Web clients. For this purpose, is provided a general
method of how can be linked a JADE agent to a
JavaServer Faces (JSF) component, to allow Web
Applications to be interfaced with a Multi-Agent System.
The testing example is inspired by the JADEServlet add-on
developed by Fabien Gandon [1].
A. Jade agents
JADE is a middleware that facilitates the development
of multi-agent systems and applications conforming to
FIPA standards for intelligent agents. It includes:
· A runtime environment where JADE agents can “live”
and that must be active on a given host before one or
more agents can be executed on that host.
· A library of classes that programmers have to/can use
(directly or by specializing them) to develop their
agents.
· A suite of graphical tools that allows administrating
and monitoring the activity of running agents.
The Agent class represents a common base class for
user defined agents. Therefore, from the programmer’s
point of view, a JADE agent is simply an instance of a user
defined Java class that extends the base Agent class, as
shown in the code below:
import jade.core.Agent;
public class MyAgent extends Agent {
protected void setup() {
// Printout a welcome message
System.out.println("Hello!"+
"The agent " + getAID().getName()+
" is ready!");
}}
Florin Stoica is with the Faculty of Sciences, “Lucian Blaga”
University of Sibiu, Romania (phone: 40/269/216062; e-mail:
florin.stoica@ulbsibiu.ro).
The computational model of an agent is multitask, where
tasks (or behaviours) are executed concurrently. Each
functionality/service provided by an agent should be
implemented as one or more behaviours. A scheduler,
internal to the base Agent class and hidden to the
programmer, automatically manages the scheduling of
behaviours.
A behaviour represents a task that an agent can carry out
and is implemented as an object of a class that extends
jade.core.behaviours.Behaviour. In order to make
an agent execute the task implemented by a behaviour
object it is sufficient to add the behaviour to the agent by
means of the addBehaviour() method of the Agent
class.
Each class extending Behaviour must implement the
action() method, that actually defines the operations to
be performed when the behaviour is in execution and the
done() method (returns a boolean value), that specifies
whether or not a behaviour has completed and have to be
removed from the pool of behaviours an agent is carrying
out. Is important to notice that scheduling of behaviours in
an agent is not pre-emptive (as for Java threads) but
cooperative. This means that when a behaviour is
scheduled for execution its action() method is called
and runs until it returns.
The path of execution of the agent thread is showed in
the following pseudocode:
void AgentLifeCycle() {
setup();
while (true) {
if (was called doDelete()) {
takeDown();
return;
}
Behaviour b =
getNextActiveBehaviourFromSchedQueue();
b. action();
if (b.done() returns true)
removeBehaviourFromSchedQueue(b);
}
}
We can distinguish among three types of behaviour [2]:
(a). “One-shot” behaviours that complete immediately
and whose action() method is executed only once.
The jade.core.behaviours.OneShotBehaviour
already implements the done() method by returning true
and can be conveniently extended to implement one-shot
behaviours.
public class MyOneShotBehaviour extends
OneShotBehaviour {
public void action() {
// perform operation X
}
}
T
2. Operation X is performed only once.
(b). “Cyclic” behaviours that never complete and whose
action() method executes the same operations each time
it is called.
The jade.core.behaviours.CyclicBehaviour
already implements the done() method by returning false
and can be conveniently extended to implement cyclic
behaviours.
public class MyCyclicBehaviour extends
CyclicBehaviour {
public void action() {
// perform operation Y
}
}
Operation Y is performed repetitively forever (until the
agent carrying out the above behaviour terminates).
(c). Generic behaviours that embeds a status and execute
different operations depending on that status. They
complete when a given condition is met.
JADE provides the possibility of combining simple
behaviours together to create complex behaviours.
B. Java Server Faces Technology
JavaServer Faces (JSF) is a new technology for rapidly
building Web applications using Java technologies, with
objective to create a standard framework for user interface
components for web applications. JSF expedites the
development process by providing the following features:
standard and extensible user interface (UI) components (a
rich component model with event handling and component
rendering), easily configurable page navigation,
components for input validation, automatic bean
management, event-handling, easy error handling,
embedded support for internationalization, and web
application lifecycle management through a controller
servlet.
JavaServer Faces (JSF) is a technology that is being led
by Sun Microsystems as JSR 127 under the Java
Community Process (JCP).
JavaServer Faces technology includes:
· A set of APIs for representing UI components and
managing their state, handling events and input
validation, defining page navigation, and supporting
internationalization and accessibility.
· A JavaServer Pages (JSP) custom tag library for
expressing a JavaServer Faces interface within a JSP
page.
A JSF application is just like any other Java technology-based
web application; it runs in a Java servlet container,
and contains:
· JSP pages with JSF components representing the UI.
· JavaBeans to hold the model data.
· Application configuration files specifying the JSF
controller servlet, managed beans, and navigation
handles.
JavaServer Faces technology is based on the Model
View Controller (MVC) architecture for separating logic
from presentation. This design enables each member of a
web application development team to focus on his or her
piece of the development process, and it also provides a
simple programming model to link the pieces together.
The example application was developed in Sun Java
Studio Creator 2, an Integrated Development Environment
(IDE) for developing state-of-the-art web applications.
Based on JSF technology, this IDE simplifies writing Java
code by providing well-defined event handlers for
incorporating business logic, without requiring developers
to manage details of transactions, persistence, and other
complexities. In addition, it supports the web applications
architecture as defined in the J2EE BluePrints [3].
Web applications in the Java Studio Creator
development environment are supported by a set of
JavaBean components, called managed beans, which
provide the logic for initializing and controlling JSF
components and for managing data across page requests (a
single round trip between the client and server), user
sessions, or the application as a whole.
II. A JSF-JADE BRIDGE
The following JSF application is deployed in Tomcat
and is interfaced with a proxy-agent in JADE in order to
retrieve and display the list of the agents advertising a
service with the Directory Facilitator (DF) as defined in
FIPA [4]. We suppose that before running the Tomcat
server, a default JADE platform has been started on the
same host, port 1099, with a main container.
The main page of application, Page1.jsp, contains a
table component used to display all registered agents
within JADE platform advertising a service specified by
the user.
Each user’s request is linked to a behavior of the Proxy
Agent in charge of handling the request; each instance of
the behavior connect to the DF, retrieves the list of
advertised agents, and update the UI through a data
provider. This architecture allow the handling of multiple
requests in parallel (requests are resolved by a multi-behavior
Proxy Agent) and further customization of the
behaviors to handle different types of requests in different
ways. The architecture of the application is showed in Fig.
1.
JADE platform
request
Figure 1. Architecture of the example.
Page1.jsp
JSF Table component
ObjectArrayDataProvider
SessionBean1
theProxyAgent (controller)
AgentInfo [ ]
ProxyAgent
Directory Facilitator (DF)
3. Business Objects
The following are the business objects used in the
application:
A. AgentInfo
Encapsulates an agent ID retrieved from the Directory
Facilitator (DF) agent, consisting from its name and its
address.
public class AgentInfo {
public String name;
public String address;
//...
}
B. CondVar
Simple class behaving as a Condition Variable, used in
synchronization.
public class CondVar {
/** Constructor */
public CondVar() {
}
private boolean value = false;
synchronized void waitOn() throws
InterruptedException {
while(!value) {
wait();
}
}
synchronized void signal() {
value = true;
notifyAll();
}
synchronized void reset() {
value = false;
}
}
C. HelloJADE
Create a new non-main JADE container, then create a
new instance of Proxy Agent in the StartProxyAgent
method:
synchronized public AgentController
StartProxyAgent() {
// Create a new non-main container
try {
sync.reset();
Runtime myJADERunTime =
Runtime.instance();
Profile myJADEProfile = new
ProfileImpl();
AgentContainer myNewContainer =
myJADERunTime.createAgentContainer(
myJADEProfile);
// The sync Object is used to achieve
// a startup synchronization
theProxyAgent =
myNewContainer.createNewAgent(
"ProxyAgent",
ProxyAgent.class.getName(),
new Object[] { sync });
theProxyAgent.start();
// Wait for synchronization signal
sync.waitOn();
}
catch(Exception ex) {
ex.printStackTrace();
}
return theProxyAgent;
}
The StartProxyAgent method return an
AgentController used to communicate with Proxy
Agent.
D. ProxyAgent
Represent the bridge between Web application and
JADE platform. Has a CyclicBehaviour, activated at
each user request by launching a new
OneShotBehaviour to resolve that request. This agent
declares it accepts messages through the object to agent
communication channel and dynamically creates behaviors
(GetDFList) to handle each request that is received:
public class ProxyAgent extends Agent {
private CondVar sync;
/** Constructor */
public ProxyAgent() {
}
public void setup() {
// Accept objects through the object-
// to-agent communication channel,
// with a maximum size of 100 queued
// objects
this.setEnabledO2ACommunication(true,
100);
// Register the Proxy Agent with the
// DF so that there is at least one
// registered agent
....
// Notify the HelloJADE that the
// Proxy Agent is ready
Object[] recvArgs = getArguments();
sync = (CondVar)(recvArgs[0]);
sync.signal();
// Add a cyclic behaviour checking
// the queue of objects
this.addBehaviour(new
CyclicBehaviour() {
public void action() {
Object recvObj = getO2AObject();
if(recvObj != null) {
myAgent.addBehaviour(new
GetDFList(myAgent,
(SessionBean1)recvObj,sync));
}
else block();
}
});
}
}
The GetDFList retrieve the list of all registered agents
advertising a service specified by the user. Then, update
the property agents of SessionBean1 with results, and
finally notify the Page1 bean the response is ready:
class GetDFList extends OneShotBehaviour{
private AgentInfo[] agents;
private CondVar sync;
private SessionBean1 session;
// Constructor
public GetDFList(Agent agent,
SessionBean1 session,
CondVar sync) {
super(agent);
this.session = session;
this.sync = sync;
}
public void action() {
try {
4. DFAgentDescription template = new
DFAgentDescription();
ServiceDescription sd = new
ServiceDescription();
// retrieve the service from user
if (session.getService().equals("all"))
sd.setType(null);
else
sd.setType(session.getService());
template.addServices(sd);
DFAgentDescription[] result =
DFService.search(myAgent, template);
if (result.length > 0) {
String agentID;
int p1, p2;
agents = (AgentInfo [])
Array.newInstance(AgentInfo.class,
result.length);
for(int count=0;count<result.length;
count++) {
agentID =
result[count].getName().toString();
p1 =agentID.indexOf(":name");
p2 =agentID.indexOf(":addresses") ;
Array.set(agents, count,
new AgentInfo(
agentID.substring(p1+5, p2-1),
agentID.substring(p2+11,
agentID.length()-1)));
}
}
else {
agents = (AgentInfo [])
Array.newInstance(AgentInfo.class,
1);
Array.set(agents, 0,
new AgentInfo("not found",
"not found"));
}
session.setAgents(agents);
sync.signal();
}
catch(Exception ex)
{ex.printStackTrace(); }
}
}
In the following is explained the code of the standard
managed beans. The method init() of the
SessionBean1 contains the code for creating a new non-main
JADE container and launching the Proxy Agent:
sync = new CondVar();
if (theProxyAgent == null)
theProxyAgent = new
HelloJADE(sync).StartProxyAgent();
The sync object is passed to Proxy Agent and used at
startup for waiting the complete initialization of the Proxy
Agent and later for synchronization between user requests
and associated Proxy Agent tasks.
An user request is performed through selection of button
labeled Find (with id button1):
public String button1_action() {
try {
AgentController t =
getSessionBean1().getTheProxyAgent();
CondVar sync =
getSessionBean1().getSync();
sync.reset();
t.putO2AObject(getSessionBean1(),
AgentController.ASYNC);
sync.waitOn();
AgentInfo [] agents =
getSessionBean1().getAgents();
// refresh table component
getObjectArrayDataProvider1().setArray(
agents);
}
catch(Exception ex) {
ex.printStackTrace();
}
return null;
}
The objectArrayDataProvider1 wraps the
JavaBean component AgentInfo[] agents (property of
SessionBean1) through its array property, which we can
set in the Creator Properties window. In Fig. 2 is showed
the running example discovering all “live” registered
agents in the JADE platform depicted in Fig. 3.
Figure 2. A JSF table component linked to a JADE agent
III. CONCLUSION
Data providers can be used to access the JavaBean
components both in the Java page bean code and in the
property binding dialogs of the Java Studio Creator IDE.
The Web-bridge for JADE agents is based on data
providers wrapping JavaBeans components which are
updatable by JADE agents through the object to agent
communication channel between agent controllers and
JADE agents. Binding data provideres to JSF components,
these are linked in fact to JADE agents.
REFERENCES
[1] Fabien Gandon, “Linking a servlet to a JADE agent”, JADE add-on,
http://jade.tilab.com
[2] F. Bellifemine, G. Caire, T. Trucco, G. Rimassa, JADE
programmer's guide, http://jade.tilab.com
[3] Java Studio Creator Field Guide, 2nd ed., Sun Microsystems
(currently in development),
http://developers.sun.com/prodtech/javatools/jscreator/learning/
bookshelf/index.html
[4] The Foundation for Intelligent Physical Agents (FIPA),
www.fipa.org
[5] D. Geary, C. Horstmann, Core JavaServer Faces, Prentice Hall,
2004, ch. 1-5.
5. Figure 3. A snapshot of the JADE platform with three registered agents