This document provides an overview of Nascent Applied Methods & Endeavors (NAME), a California-based company that develops technologies like electronic commerce applications, enterprise work architectures, and autonomous knowledge worker systems. It then lists numerous web links categorized under topics like autonomous agent research and development programs, specifications and engineering tools, intelligence theories and applications, and information retrieval systems. The document serves as an appendix providing structural references and authorities on NAME's organizational terminologies and autonomous agent development processes and programs.
Seminario Web
"Herramientas y técnicas para la Gestión del Conocimiento Nuclear"
Claudio Henrique dos Santos Grecco, PostDoc
Organizado por la Red LAPRAM
2 de octubre 2020
GET IEEE BIG DATA,JAVA ,DOTNET,ANDROID ,NS2,MATLAB,EMBEDED AT LOW COST WITH BEST QUALITY PLEASE CONTACT BELOW NUMBER
FOR MORE INFORMATION PLEASE FIND THE BELOW DETAILS:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com
Mobile: 9791938249
Telephone: 0413-2211159
www.nexgenproject.com
Data Science and Machine Learning in Smart manufacturingFrank Fang Kuo Yu
1. The document discusses applications of data science and machine learning in smart manufacturing, including wafer map failure pattern recognition and improving production line performance at Bosch.
2. It covers machine learning techniques like supervised learning, binary and multi-class classification, and deep learning solutions using convolutional neural networks. Case studies include recognizing patterns in wafer maps and predicting failures along Bosch assembly lines.
3. Barriers to applying data science projects discussed in the Kaggle survey include lack of clear questions, managing expectations, explaining data science, and integrating results into decisions. The document advocates using data competitions, crowdsourcing, and open innovation to overcome these barriers.
Martinjdudziak Energy Sector Resume May2012martindudziak
Martin Dudziak has extensive experience in the energy sector spanning biofuels, petrochemicals, nuclear, and innovative research and applications. His resume highlights current projects analyzing alternative fracking fluids and hydrogen production methods. He has held key positions as a chief scientist, research scientist, and professor working on projects involving energy production, transportation, storage, and consumption.
This document outlines acceptance test procedures for Nascent Applied Methods & Endeavors (NAME) relating to an R&D contract. It details diagnostic, system response, security, communications, printer, autonomous program, email, and system backup tests to ensure compliance with specifications. Tests include spell checking documents while sorting databases, printing documents simultaneously, accessing private directories, transferring files, locating documents, remote access, printing jobs, executing autonomous programs, sending email messages, and restoring data from backups.
The document discusses Microsoft Research's ORECHEM project, which aims to integrate chemistry scholarship with web architectures, grid computing, and the semantic web. It involves developing infrastructure to enable new models for research and dissemination of scholarly materials in chemistry. Key aspects include using OAI-ORE standards to describe aggregations of web resources related to crystallography experiments. The objective is to build a pipeline that extracts 3D coordinate data from feeds, performs computations on resources like TeraGrid, and stores resulting RDF triples in a triplestore. RESTful web services are implemented to access different steps in the workflow.
Seminario Web
"Herramientas y técnicas para la Gestión del Conocimiento Nuclear"
Claudio Henrique dos Santos Grecco, PostDoc
Organizado por la Red LAPRAM
2 de octubre 2020
GET IEEE BIG DATA,JAVA ,DOTNET,ANDROID ,NS2,MATLAB,EMBEDED AT LOW COST WITH BEST QUALITY PLEASE CONTACT BELOW NUMBER
FOR MORE INFORMATION PLEASE FIND THE BELOW DETAILS:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com
Mobile: 9791938249
Telephone: 0413-2211159
www.nexgenproject.com
Data Science and Machine Learning in Smart manufacturingFrank Fang Kuo Yu
1. The document discusses applications of data science and machine learning in smart manufacturing, including wafer map failure pattern recognition and improving production line performance at Bosch.
2. It covers machine learning techniques like supervised learning, binary and multi-class classification, and deep learning solutions using convolutional neural networks. Case studies include recognizing patterns in wafer maps and predicting failures along Bosch assembly lines.
3. Barriers to applying data science projects discussed in the Kaggle survey include lack of clear questions, managing expectations, explaining data science, and integrating results into decisions. The document advocates using data competitions, crowdsourcing, and open innovation to overcome these barriers.
Martinjdudziak Energy Sector Resume May2012martindudziak
Martin Dudziak has extensive experience in the energy sector spanning biofuels, petrochemicals, nuclear, and innovative research and applications. His resume highlights current projects analyzing alternative fracking fluids and hydrogen production methods. He has held key positions as a chief scientist, research scientist, and professor working on projects involving energy production, transportation, storage, and consumption.
This document outlines acceptance test procedures for Nascent Applied Methods & Endeavors (NAME) relating to an R&D contract. It details diagnostic, system response, security, communications, printer, autonomous program, email, and system backup tests to ensure compliance with specifications. Tests include spell checking documents while sorting databases, printing documents simultaneously, accessing private directories, transferring files, locating documents, remote access, printing jobs, executing autonomous programs, sending email messages, and restoring data from backups.
The document discusses Microsoft Research's ORECHEM project, which aims to integrate chemistry scholarship with web architectures, grid computing, and the semantic web. It involves developing infrastructure to enable new models for research and dissemination of scholarly materials in chemistry. Key aspects include using OAI-ORE standards to describe aggregations of web resources related to crystallography experiments. The objective is to build a pipeline that extracts 3D coordinate data from feeds, performs computations on resources like TeraGrid, and stores resulting RDF triples in a triplestore. RESTful web services are implemented to access different steps in the workflow.
|QAB> : Quantum Computing, AI and BlockchainKan Yuenyong
The document discusses quantum computing, artificial intelligence, and blockchain. It describes how quantum computers could crack encryption like RSA much faster than classical computers. However, building a quantum computer with enough qubits to run algorithms like Shor's algorithm is not currently possible. The document also discusses how quantum computing could be a solution to problems caused by quantum effects at small scales. Photonic quantum computers that operate at room temperature and can scale to millions of qubits are also mentioned.
The document discusses several US grid projects including campus and regional grids like Purdue and UCLA that provide tens of thousands of CPUs and petabytes of storage. It describes national grids like TeraGrid and Open Science Grid that provide over a petaflop of computing power through resource sharing agreements. It outlines specific communities and projects using these grids for sciences like high energy physics, astronomy, biosciences, and earthquake modeling through the Southern California Earthquake Center. Software providers and toolkits that enable these grids are also mentioned like Globus, Virtual Data Toolkit, and services like Introduce.
Overview of Indiana University's Advanced Science Gateway support activities for drug discovery, computational chemistry, and other Web portals. For a broader overview of the OGCE project, see http://www.collab-ogce.org/ogce/index.php
How Can AI and IoT Power the Chemical Industry?Xiaonan Wang
AI, IoT and Blockchain tech briefing to the industry to showcase our research at NUS.
by Dr. Xiaonan Wang
Assistant Professor
NUS Department of Chemical & Biomolecular Engineering
Artificial Life Systems Engineering, The Universal Treatise of Global Socioeconomic Common Sense - Press Releases, E-books, Library Resources, Patent Submission, Bilski vs. Kappos, Business Modeling, Business Plans, Business Funding, Business Planning, Idea/Invention Submissions, Finance, Marketing, Jobs, Employment, Unemployment, Insurance, Economy, Money, Research, R&D, Torah, Jews, Koran, Muslims, Bible, Christ, Christian, OD, Analysis, Wars, Military, Sex, Dating, Investment, Investing
Attendees will see presentations from over 34 existing Action Clusters, hear from national and international thought leaders, and have an opportunity to network with both new and current GCTC participants and organizations.
Call for Chapters- Edited Book: Real-World Applications of Quantum Computers ...Christo Ananth
It is no surprise that Quantum Computing will prove to be a big change for the world. The practical examples of quantum computing can prove to be a good substitute for traditional computing methods. Quantum computing can be applied to many concepts in today’s era when technology has grown by leaps and bounds. It has a wide beach of applications ranging from Cryptography, Climate Change and Weather Forecasting, Drug Development and Discovery, Financial Modeling, Artificial Intelligence, etc. Giant firms have already begun the process of quantum computing in the field of artificial intelligence. The search algorithms of today are mostly designed according to classical computing methods. While Comparing Quantum Computers with Data Mining with Other Counterpart Systems, we are able to understand its significance thereby applying new techniques to obtain new real-time results and solutions
Quo vadis, provenancer? Cui prodest? our own trajectory: provenance of data...Paolo Missier
The document discusses provenance in the context of data science and artificial intelligence. It provides bibliometric data on publications related to data/workflow provenance from 2000 to the present. Recent trends include increased focus on applications in computing and engineering fields. Blockchain is discussed as a method for capturing fine-grained provenance. The document also outlines challenges around explainability, transparency and accountability for high-risk AI systems according to new EU regulations, and argues that provenance techniques may help address these challenges by providing traceability of system functioning and operation monitoring.
Cyberinfrastructure and Applications Overview: Howard University June22marpierc
1) Cyberinfrastructure refers to the combination of computing systems, data storage systems, advanced instruments and data repositories, visualization environments, and people that enable knowledge discovery through integrated multi-scale simulations and analyses.
2) Cloud computing, multicore processors, and Web 2.0 tools are changing the landscape of cyberinfrastructure by providing new approaches to distributed computing and data sharing that emphasize usability, collaboration, and accessibility.
3) Scientific applications are increasingly data-intensive, requiring high-performance computing resources to analyze large datasets from sources like gene sequencers, telescopes, sensors, and web crawlers.
FAIR Computational Workflows
Computational workflows capture precise descriptions of the steps and data dependencies needed to carry out computational data pipelines, analysis and simulations in many areas of Science, including the Life Sciences. The use of computational workflows to manage these multi-step computational processes has accelerated in the past few years driven by the need for scalable data processing, the exchange of processing know-how, and the desire for more reproducible (or at least transparent) and quality assured processing methods. The SARS-CoV-2 pandemic has significantly highlighted the value of workflows.
This increased interest in workflows has been matched by the number of workflow management systems available to scientists (Galaxy, Snakemake, Nextflow and 270+ more) and the number of workflow services like registries and monitors. There is also recognition that workflows are first class, publishable Research Objects just as data are. They deserve their own FAIR (Findable, Accessible, Interoperable, Reusable) principles and services that cater for their dual roles as explicit method description and software method execution [1]. To promote long-term usability and uptake by the scientific community, workflows (as well as the tools that integrate them) should become FAIR+R(eproducible), and citable so that author’s credit is attributed fairly and accurately.
The work on improving the FAIRness of workflows has already started and a whole ecosystem of tools, guidelines and best practices has been under development to reduce the time needed to adapt, reuse and extend existing scientific workflows. An example is the EOSC-Life Cluster of 13 European Biomedical Research Infrastructures which is developing a FAIR Workflow Collaboratory based on the ELIXIR Research Infrastructure for Life Science Data Tools ecosystem. While there are many tools for addressing different aspects of FAIR workflows, many challenges remain for describing, annotating, and exposing scientific workflows so that they can be found, understood and reused by other scientists.
This keynote will explore the FAIR principles for computational workflows in the Life Science using the EOSC-Life Workflow Collaboratory as an example.
[1] Carole Goble, Sarah Cohen-Boulakia, Stian Soiland-Reyes,Daniel Garijo, Yolanda Gil, Michael R. Crusoe, Kristian Peters, and Daniel Schober FAIR Computational Workflows Data Intelligence 2020 2:1-2, 108-121 https://doi.org/10.1162/dint_a_00033.
The document discusses WSO2's big data platform and applications. It provides an overview of what can be done with big data, including optimizing processes to save money and resources, saving lives through advanced analytics of data like weather and health, and enabling new technologies through simulations. It then describes WSO2's big data architecture and analytics offerings, including the WSO2 Analytics Platform and its real-time and batch processing capabilities. Several use cases are presented, such as for smart homes, healthcare, cloud services, and more. The platform provides high-level query languages and supports multiple industries and custom extensions.
Web2.0 2012 - lesson 7 - technologies and mashups Carlo Vaccari
This document discusses key concepts of Web 2.0 technologies including blogs, wikis, tags, social networks, AJAX, APIs, mashups, and frameworks. It provides examples of popular mashups that combine data from multiple sources to create new applications. Both the strengths and weaknesses of mashups are outlined, noting their potential for lightweight development but also dependence on external data sources and APIs.
Call for Papers- Special Session: Applications of Computational Intelligence, Internet of Things and Cutting Edge Technologies
Christo Ananth, Dr.Akhatov Akmal Rustamovich, Dr.Muhtor Nasirov
Professor, Samarkand State University, Uzbekistan
German Conference on Bioinformatics 2021
https://gcb2021.de/
FAIR Computational Workflows
Computational workflows capture precise descriptions of the steps and data dependencies needed to carry out computational data pipelines, analysis and simulations in many areas of Science, including the Life Sciences. The use of computational workflows to manage these multi-step computational processes has accelerated in the past few years driven by the need for scalable data processing, the exchange of processing know-how, and the desire for more reproducible (or at least transparent) and quality assured processing methods. The SARS-CoV-2 pandemic has significantly highlighted the value of workflows.
This increased interest in workflows has been matched by the number of workflow management systems available to scientists (Galaxy, Snakemake, Nextflow and 270+ more) and the number of workflow services like registries and monitors. There is also recognition that workflows are first class, publishable Research Objects just as data are. They deserve their own FAIR (Findable, Accessible, Interoperable, Reusable) principles and services that cater for their dual roles as explicit method description and software method execution [1]. To promote long-term usability and uptake by the scientific community, workflows (as well as the tools that integrate them) should become FAIR+R(eproducible), and citable so that author’s credit is attributed fairly and accurately.
The work on improving the FAIRness of workflows has already started and a whole ecosystem of tools, guidelines and best practices has been under development to reduce the time needed to adapt, reuse and extend existing scientific workflows. An example is the EOSC-Life Cluster of 13 European Biomedical Research Infrastructures which is developing a FAIR Workflow Collaboratory based on the ELIXIR Research Infrastructure for Life Science Data Tools ecosystem. While there are many tools for addressing different aspects of FAIR workflows, many challenges remain for describing, annotating, and exposing scientific workflows so that they can be found, understood and reused by other scientists.
This keynote will explore the FAIR principles for computational workflows in the Life Science using the EOSC-Life Workflow Collaboratory as an example.
[1] Carole Goble, Sarah Cohen-Boulakia, Stian Soiland-Reyes,Daniel Garijo, Yolanda Gil, Michael R. Crusoe, Kristian Peters, and Daniel Schober FAIR Computational Workflows Data Intelligence 2020 2:1-2, 108-121 https://doi.org/10.1162/dint_a_00033.
Adelaide Rhodes has over 15 years of experience in bioinformatics and analyzing large datasets for environmental, metagenomic, and human health applications. She has strong skills in programming languages like R, Python, and UNIX/Linux and has experience building workflows for analyzing NGS data using tools like Nextflow, Snakemake, and Kubernetes on cloud platforms. She currently works as a Senior Bioinformatics Scientist at Tufts University, where she provides strategic consulting and trains researchers on analytical methods and cloud resources.
This document provides an overview and introduction to grid computing concepts. It discusses the benefits of grid computing such as exploiting underutilized resources and enabling collaboration. It also describes some key computational grid projects including a national fusion grid pilot project. The document outlines the layered architecture of grid systems and references some foundational projects and standards like Globus Toolkit and Global Grid Forum. Finally, it introduces the concepts of OGSA and OGSI which provide standard interfaces and behaviors for distributed system management in grid environments.
Technical inovation in mechanical fieldKrishna Raj
ALL THE EXAMPLES OF RECENT INVENTION IN MECHANICAL FIELD .
BETTER DISCRIPTION WITH EXAMPLES AND THEIR IMAGES.
BEST EVER PPT OF TECHNICAL INOVATION IN MECHANICAL FIELD TOPIC.
U CAN EXPLORE IT
SciVerse provides APIs and an OpenSocial container to build apps that can access contextual information from Elsevier's scientific content. It allows apps to be embedded in search results pages and article pages. The SciVerse APIs provide access to content from ScienceDirect, Scopus, and other sources, and apps can retrieve contextual info like search terms, article metadata, and authentication tokens. Support is available for API, data, programming, and product questions.
|QAB> : Quantum Computing, AI and BlockchainKan Yuenyong
The document discusses quantum computing, artificial intelligence, and blockchain. It describes how quantum computers could crack encryption like RSA much faster than classical computers. However, building a quantum computer with enough qubits to run algorithms like Shor's algorithm is not currently possible. The document also discusses how quantum computing could be a solution to problems caused by quantum effects at small scales. Photonic quantum computers that operate at room temperature and can scale to millions of qubits are also mentioned.
The document discusses several US grid projects including campus and regional grids like Purdue and UCLA that provide tens of thousands of CPUs and petabytes of storage. It describes national grids like TeraGrid and Open Science Grid that provide over a petaflop of computing power through resource sharing agreements. It outlines specific communities and projects using these grids for sciences like high energy physics, astronomy, biosciences, and earthquake modeling through the Southern California Earthquake Center. Software providers and toolkits that enable these grids are also mentioned like Globus, Virtual Data Toolkit, and services like Introduce.
Overview of Indiana University's Advanced Science Gateway support activities for drug discovery, computational chemistry, and other Web portals. For a broader overview of the OGCE project, see http://www.collab-ogce.org/ogce/index.php
How Can AI and IoT Power the Chemical Industry?Xiaonan Wang
AI, IoT and Blockchain tech briefing to the industry to showcase our research at NUS.
by Dr. Xiaonan Wang
Assistant Professor
NUS Department of Chemical & Biomolecular Engineering
Artificial Life Systems Engineering, The Universal Treatise of Global Socioeconomic Common Sense - Press Releases, E-books, Library Resources, Patent Submission, Bilski vs. Kappos, Business Modeling, Business Plans, Business Funding, Business Planning, Idea/Invention Submissions, Finance, Marketing, Jobs, Employment, Unemployment, Insurance, Economy, Money, Research, R&D, Torah, Jews, Koran, Muslims, Bible, Christ, Christian, OD, Analysis, Wars, Military, Sex, Dating, Investment, Investing
Attendees will see presentations from over 34 existing Action Clusters, hear from national and international thought leaders, and have an opportunity to network with both new and current GCTC participants and organizations.
Call for Chapters- Edited Book: Real-World Applications of Quantum Computers ...Christo Ananth
It is no surprise that Quantum Computing will prove to be a big change for the world. The practical examples of quantum computing can prove to be a good substitute for traditional computing methods. Quantum computing can be applied to many concepts in today’s era when technology has grown by leaps and bounds. It has a wide beach of applications ranging from Cryptography, Climate Change and Weather Forecasting, Drug Development and Discovery, Financial Modeling, Artificial Intelligence, etc. Giant firms have already begun the process of quantum computing in the field of artificial intelligence. The search algorithms of today are mostly designed according to classical computing methods. While Comparing Quantum Computers with Data Mining with Other Counterpart Systems, we are able to understand its significance thereby applying new techniques to obtain new real-time results and solutions
Quo vadis, provenancer? Cui prodest? our own trajectory: provenance of data...Paolo Missier
The document discusses provenance in the context of data science and artificial intelligence. It provides bibliometric data on publications related to data/workflow provenance from 2000 to the present. Recent trends include increased focus on applications in computing and engineering fields. Blockchain is discussed as a method for capturing fine-grained provenance. The document also outlines challenges around explainability, transparency and accountability for high-risk AI systems according to new EU regulations, and argues that provenance techniques may help address these challenges by providing traceability of system functioning and operation monitoring.
Cyberinfrastructure and Applications Overview: Howard University June22marpierc
1) Cyberinfrastructure refers to the combination of computing systems, data storage systems, advanced instruments and data repositories, visualization environments, and people that enable knowledge discovery through integrated multi-scale simulations and analyses.
2) Cloud computing, multicore processors, and Web 2.0 tools are changing the landscape of cyberinfrastructure by providing new approaches to distributed computing and data sharing that emphasize usability, collaboration, and accessibility.
3) Scientific applications are increasingly data-intensive, requiring high-performance computing resources to analyze large datasets from sources like gene sequencers, telescopes, sensors, and web crawlers.
FAIR Computational Workflows
Computational workflows capture precise descriptions of the steps and data dependencies needed to carry out computational data pipelines, analysis and simulations in many areas of Science, including the Life Sciences. The use of computational workflows to manage these multi-step computational processes has accelerated in the past few years driven by the need for scalable data processing, the exchange of processing know-how, and the desire for more reproducible (or at least transparent) and quality assured processing methods. The SARS-CoV-2 pandemic has significantly highlighted the value of workflows.
This increased interest in workflows has been matched by the number of workflow management systems available to scientists (Galaxy, Snakemake, Nextflow and 270+ more) and the number of workflow services like registries and monitors. There is also recognition that workflows are first class, publishable Research Objects just as data are. They deserve their own FAIR (Findable, Accessible, Interoperable, Reusable) principles and services that cater for their dual roles as explicit method description and software method execution [1]. To promote long-term usability and uptake by the scientific community, workflows (as well as the tools that integrate them) should become FAIR+R(eproducible), and citable so that author’s credit is attributed fairly and accurately.
The work on improving the FAIRness of workflows has already started and a whole ecosystem of tools, guidelines and best practices has been under development to reduce the time needed to adapt, reuse and extend existing scientific workflows. An example is the EOSC-Life Cluster of 13 European Biomedical Research Infrastructures which is developing a FAIR Workflow Collaboratory based on the ELIXIR Research Infrastructure for Life Science Data Tools ecosystem. While there are many tools for addressing different aspects of FAIR workflows, many challenges remain for describing, annotating, and exposing scientific workflows so that they can be found, understood and reused by other scientists.
This keynote will explore the FAIR principles for computational workflows in the Life Science using the EOSC-Life Workflow Collaboratory as an example.
[1] Carole Goble, Sarah Cohen-Boulakia, Stian Soiland-Reyes,Daniel Garijo, Yolanda Gil, Michael R. Crusoe, Kristian Peters, and Daniel Schober FAIR Computational Workflows Data Intelligence 2020 2:1-2, 108-121 https://doi.org/10.1162/dint_a_00033.
The document discusses WSO2's big data platform and applications. It provides an overview of what can be done with big data, including optimizing processes to save money and resources, saving lives through advanced analytics of data like weather and health, and enabling new technologies through simulations. It then describes WSO2's big data architecture and analytics offerings, including the WSO2 Analytics Platform and its real-time and batch processing capabilities. Several use cases are presented, such as for smart homes, healthcare, cloud services, and more. The platform provides high-level query languages and supports multiple industries and custom extensions.
Web2.0 2012 - lesson 7 - technologies and mashups Carlo Vaccari
This document discusses key concepts of Web 2.0 technologies including blogs, wikis, tags, social networks, AJAX, APIs, mashups, and frameworks. It provides examples of popular mashups that combine data from multiple sources to create new applications. Both the strengths and weaknesses of mashups are outlined, noting their potential for lightweight development but also dependence on external data sources and APIs.
Call for Papers- Special Session: Applications of Computational Intelligence, Internet of Things and Cutting Edge Technologies
Christo Ananth, Dr.Akhatov Akmal Rustamovich, Dr.Muhtor Nasirov
Professor, Samarkand State University, Uzbekistan
German Conference on Bioinformatics 2021
https://gcb2021.de/
FAIR Computational Workflows
Computational workflows capture precise descriptions of the steps and data dependencies needed to carry out computational data pipelines, analysis and simulations in many areas of Science, including the Life Sciences. The use of computational workflows to manage these multi-step computational processes has accelerated in the past few years driven by the need for scalable data processing, the exchange of processing know-how, and the desire for more reproducible (or at least transparent) and quality assured processing methods. The SARS-CoV-2 pandemic has significantly highlighted the value of workflows.
This increased interest in workflows has been matched by the number of workflow management systems available to scientists (Galaxy, Snakemake, Nextflow and 270+ more) and the number of workflow services like registries and monitors. There is also recognition that workflows are first class, publishable Research Objects just as data are. They deserve their own FAIR (Findable, Accessible, Interoperable, Reusable) principles and services that cater for their dual roles as explicit method description and software method execution [1]. To promote long-term usability and uptake by the scientific community, workflows (as well as the tools that integrate them) should become FAIR+R(eproducible), and citable so that author’s credit is attributed fairly and accurately.
The work on improving the FAIRness of workflows has already started and a whole ecosystem of tools, guidelines and best practices has been under development to reduce the time needed to adapt, reuse and extend existing scientific workflows. An example is the EOSC-Life Cluster of 13 European Biomedical Research Infrastructures which is developing a FAIR Workflow Collaboratory based on the ELIXIR Research Infrastructure for Life Science Data Tools ecosystem. While there are many tools for addressing different aspects of FAIR workflows, many challenges remain for describing, annotating, and exposing scientific workflows so that they can be found, understood and reused by other scientists.
This keynote will explore the FAIR principles for computational workflows in the Life Science using the EOSC-Life Workflow Collaboratory as an example.
[1] Carole Goble, Sarah Cohen-Boulakia, Stian Soiland-Reyes,Daniel Garijo, Yolanda Gil, Michael R. Crusoe, Kristian Peters, and Daniel Schober FAIR Computational Workflows Data Intelligence 2020 2:1-2, 108-121 https://doi.org/10.1162/dint_a_00033.
Adelaide Rhodes has over 15 years of experience in bioinformatics and analyzing large datasets for environmental, metagenomic, and human health applications. She has strong skills in programming languages like R, Python, and UNIX/Linux and has experience building workflows for analyzing NGS data using tools like Nextflow, Snakemake, and Kubernetes on cloud platforms. She currently works as a Senior Bioinformatics Scientist at Tufts University, where she provides strategic consulting and trains researchers on analytical methods and cloud resources.
This document provides an overview and introduction to grid computing concepts. It discusses the benefits of grid computing such as exploiting underutilized resources and enabling collaboration. It also describes some key computational grid projects including a national fusion grid pilot project. The document outlines the layered architecture of grid systems and references some foundational projects and standards like Globus Toolkit and Global Grid Forum. Finally, it introduces the concepts of OGSA and OGSI which provide standard interfaces and behaviors for distributed system management in grid environments.
Technical inovation in mechanical fieldKrishna Raj
ALL THE EXAMPLES OF RECENT INVENTION IN MECHANICAL FIELD .
BETTER DISCRIPTION WITH EXAMPLES AND THEIR IMAGES.
BEST EVER PPT OF TECHNICAL INOVATION IN MECHANICAL FIELD TOPIC.
U CAN EXPLORE IT
SciVerse provides APIs and an OpenSocial container to build apps that can access contextual information from Elsevier's scientific content. It allows apps to be embedded in search results pages and article pages. The SciVerse APIs provide access to content from ScienceDirect, Scopus, and other sources, and apps can retrieve contextual info like search terms, article metadata, and authentication tokens. Support is available for API, data, programming, and product questions.
Artificial Life Systems Engineering, The Universal Treatise of Global Socioeconomic Common Sense - Press Releases, E-books, Library Resources, Patent Submission, Bilski vs. Kappos, Business Modeling, Business Plans, Business Funding, Business Planning, Idea/Invention Submissions, Finance, Marketing, Jobs, Employment, Unemployment, Insurance, Economy, Money, Research, R&D, Torah, Jews, Koran, Muslims, Bible, Christ, Christian, OD, Analysis, Wars, Military, Sex, Dating, Investment, Investing
Artificial Life Systems Engineering, The Universal Treatise of Global Socioeconomic Common Sense - Press Releases, E-books, Library Resources, Patent Submission, Bilski vs. Kappos, Business Modeling, Business Plans, Business Funding, Business Planning, Idea/Invention Submissions, Finance, Marketing, Jobs, Employment, Unemployment, Insurance, Economy, Money, Research, R&D, Torah, Jews, Koran, Muslims, Bible, Christ, Christian, OD, Analysis, Wars, Military, Sex, Dating, Investment, Investing
Web Based Services Artificial Life Systems Engineering, The Universal Treatise of Global Socioeconomic Common Sense - Press Releases, E-books, Library Resources, Patent Submission, Bilski vs. Kappos, Business Modeling, Business Plans, Business Funding, Business Planning, Idea/Invention Submissions, Finance, Marketing, Jobs, Employment, Unemployment, Insurance, Economy, Money, Research, R&D, Torah, Jews, Koran, Muslims, Bible, Christ, Christian, OD, Analysis, Wars, Military, Sex, Dating, Investment, Investing
The Nascent Applied Methods & Endeavors R&D Joint-Venture Mission Statement is a forum in which the private and public community implements a shared vision of the economic expansion of over 11,500 new technology markets
The Marketing Operational Theater & Structural Business Modeling Techniques for Developing Economic Legions, New Global Economies and Novel Organizational Forms
The Presiding Economic Issue(s) at hand shall be Commander-In-Chief of the Standing Economic Legions of World-Wide Financial Grand Monetary Strategies and/or Operational Fiduciary Tactics within those Marketing Warfare Operations involving the establishment of Financial Certainties, and of the Existing Economic State or Economies of Thought of unquestionable Status and Conformity toward the achievement of Prosperity and Opulence. That when called into the actual Service on behalf of the Unified Body of Market Forces assembled; may require the Opinion of the Voting Members within the General Court of Public Opinion respective, in writing, of the principal issues in each of the Representative Classes reflective of or based upon any subject relating to the Duties of their respective Socioeconomic Causes, and the Presiding Economic Issue(s) at hand shall have sole power to Grant Monetary Operational Reprieves during Global Market fluctuations and Academic Pardons for Opinionated Offenses against the Unified Body of Market Forces assembled, except in Cases of Procedural Impeachment through the Idealism of Global Market Forces..
As a tribute to the writings of Friedrich August Von Hayek let it be said that in this region of the universe Mankind has spent its entire existence native to planet earth, in close touch with the thoughts as to its design and purpose, all the while engaged in attending to the various needs of its survival, development and carnal expansion. In the latter period of its subsistence he has become increasingly convinced that some of the forces which attempt to destroy freedom in the world have been at work since the dawn of its sense of self-awareness.The very magnitude of the outrages committed by human beings has strengthened the assurance that an invisible defacto totalitarian system has happened. But let Mankind remember that throughout all civilized ages the possibility of such a thing happening has proven itself to always lurk within the consciousness of all Humanity as it struggles to adapt to a most hostile environment.
The Genetic Configuration for Systems Entry and Chromosomal Manipulation within a Consultative P&D Managerial or Operational Effort as it Relates to an Outline of Primary Jewish Law Sources
The Genetic Configuration for Systems Entry and Chromosomal Manipulation within a Consultative P&D Managerial or Operational Effort as it Relates to an Outline of Primary Jewish Law Sources.
William Fields wrote a letter to Rabbi Marvin Hier of the Simon Wiesenthal Center introducing his startups Nascent Applied Methods & Endeavors (NAME) and A-Square Technology Group. He believes their business model and strategic operations could help counter web-based anti-Semitism on a global scale through internet technology. NAME aims to develop computer programs based on religious scriptures to provide new e-commerce solutions. Fields requests the Rabbi's assistance and asks him to review the enclosed business plan and financial data to discuss further supporting the platforms' goals of confronting racism and murderous intent toward Jews worldwide.
The personnel at NAME have developed a process of imprinting the presence & conditions of the human mind & body into the digital realm. This process consists of applying the human genome or genetics towards those words, concepts & ideas, used to describe the psychological & physical traits of both mind & body, as they relate to each other and the environment on a day-to-day basis.
This document describes a proposed technology that would allow users to search the internet based on their genetic profile in order to quickly find cures for diseases. It details how a user's genome could be used to encode a personal medical and financial library by combining various internet and virtual laboratory technologies. Specifically, it posits that this could help develop tailored treatments for cancer by first diagnosing the genetic profile of tumor cells and then using blood-clotting technologies globally to activate pathogens only within tumors, cutting off their blood supply and killing the tumors while leaving healthy cells unaffected.
THE A-SQUARE TECHNOLOGY GROUP & NASCENT APPLIED METHODS AND ENDEAVOR’S ONESIMUS EQUATIONS PROCEDURAL CONFIGURATIONS, INTERPRETATIONS & APPROACHES FOR STRUCTURING GRAMMATIC GENOMES OR METHODIC CHROMOSOMAL SEQUENCING
THE A-SQUARE TECHNOLOGY GROUP & NASCENT APPLIED METHODS AND ENDEAVOR’S AUTONOMOUS ECONOMIC PROCEDURAL GUIDELINES AS A SERIES OF MATRIXED IDEOLOGIES ENGAGED IN GLOBAL SOCIOECONOMIC MARKETING WARFARE
Nascent Applied Methods & Endeavors (NAME) is seeking $1.3 million in investment. It will use funds to acquire existing companies, found educational facilities, develop e-commerce platforms, market services, and hire staff. The company projects $42.1 million in revenue in 2020, growing to over $615 million by 2021 and $3.2 billion by the 5th year as it develops business models and applications using genetic and molecular sciences. It aims to have no direct competitors due to its unique approach and services.
This document is a technical business plan for Nascent Applied Methods & Endeavors (NAME) that seeks to raise $110 million for operations. It outlines NAME's products and services involving electronic commerce applications, business models, and distributed artificial intelligence technologies developed through genetic and molecular sciences. It projects over $3 billion in revenue by year 5 through global sales channels targeting over 60 million businesses as potential customers. The plan is presented by William E. Fields to potential investors for funding NAME's operations.
The document summarizes the wages and benefits program for internal employees of Nascent Applied Methods & Endeavors (NAME), a California-based company providing technologies for electronic commerce, enterprise work architectures, and distributed artificial intelligence. It outlines salaries for core staff members, supervisory staff, and subordinate staff totaling over $26 million yearly. It also notes compensation for over 300 opt-in solution providers totaling over $55 million yearly. The 5-year projected profits from both internal employee compensation and external opt-in compensation are over $436 million.
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1. THE A-SQUARE
TECHNOLOGY
GROUP & NASCENT
APPLIED METHODS
AND ENDEAVOR’S
R&D CONTRACT
APPENDIX - L
& PROCESS
STRUCTURE
The Contracting Standards, Products and Specifications of Nascent Applied Methods
& Endeavors, references a California-based company and network providing
Electronic Commerce Applications (ECA), Enterprise Work Architectures (Business
Models), Autonomous Knowledge Worker Systems (KWS) to combat global
terrorism, and Distributed Artificial Life Programming (Avatars) technologies
through a collaborative-networking strategy. NAME intends to capitalize on the
opportunities in this area by being the first Company to introduce a collaborative
internet-based operating system using high-concept theories such as genetic
algorithms, biological suffix trees, and a host of other information-retrieval or
monetary strategies in relation to artificial life (avatar) or virtual economic scenario
programming involving global joint research & development through the use of the
molecular sciences.
BY WILLIAM EARL FIELDS (GCNO)
(ANMESCL2
RDWEF)
ALPHA NUMEROUS
MAXIMUS
EGREGIOUS SUMMA
CUM LAUDE
(ANMESCL2
EL NEGRO)
ALPHA NUMEROUS
MAXIMA
EGREGIA SUMMA
CUM LAUDE
(ANMESCL2
QUO VADIS)
ALPHA NUMEROUS
MAXIMUS
EGREGION SUMMA
CUM LAUDE
2. 2
(ANMESCL2
QUO VADIS)
ALPHA NUMEROUS MAXIMUS
EGREGION SUMMA CUM LAUDE
Appendix - L
The Structural References or Points & Authorities,
Procedures & Autonomous Agent Development Processes of
NAME’s Organizational Terminologies
(NAME’s Map-Link of Strategic Development )
Autonomous Agent Research & Development Programs and Processes
1. The Biological Analogies, Genetic Codes and Theories in Autonomous Agent
Development and Implementation.
a. Anatomy on the Internet
(http://www.meddean.luc.edu/lumen/MedEd/GrossAnatomy/anatomy.htm)
(http://www.med.harvard.edu/AANLIB/home.html)
(http://www.kumc.edu/AMA-MSS/study/anatomy.htm)
b. The Genome Symposia
(http://www.fplc.edu/risk/genindx.htm)
(http://golgi.harvard.edu/)
(http://www.ultranet.com/~jkimball/BiologyPages/C/Chromosomes.html)
c. The Genetic Code
(http://psyche.uthct.edu/shaun/SBlack/geneticd.html)
(http://www.front.net/gencode/dnachart.jpg)
(http://wsrv.clas.virginia.edu/~rjh9u/code.html)
d. Genetic Mapping and DNA Sequencing
(http://www-hto.usc.edu/books/msw/gmds/index.html)
3. 3
(http://outcast.gene.com/ae/AB/GG/)
(http://www-genome.wi.mit.edu/cgi-bin/contig/phys_map)
(http://genome-www.stanford.edu/cgi-bin/SGD/pgMAP/pgMap)
(http://www.chlc.org/)
(http://www.ncbi.nlm.nih.gov/Science96/)
(http://www.ncbi.nlm.nih.gov/Web/Newsltr/aug96.html)
(http://www.public.iastate.edu/~pigmap/edu/gene/glossary.html)
Autonomous Agent Programming Specifications and Engineering Tools
2. The Autonomous Agent Structural Protocols, Software Programs and Engineering Codes.
a. The Introduction to Computational Biology
(http://www-hto.usc.edu/)
(http://www.cs.mcgill.ca/~aghitza/suffix/SuffixTreeGrow.html)
(http://www.cbc.umn.edu/VirtLibrary/Bieganski/htree/htree-paper.ss.html)
b. Bio/Chem LabAssistant
(http://www.dundee.ac.uk/bioscience/dunsci01.htm)
(http://www-genome.wi.mit.edu/)
(http://www.ornl.gov/ORNLReview/rev25-1/intel.html)
(http://www.cbc.med.umn.edu/)
c. Recombinant DNA Technology Course
(http://lenti.med.umn.edu/recombinant_dna/recombinant_flowchart.html)
d. An Object-Oriented Genetics Information System
(http://www.cs.rpi.edu/~szymansk/OOF90/thesis.html)
(http://www.ibm.com/java/education/ooleveraging/index.html)
(http://db.sk.tsukuba.ac.jp/papers/APSEC95/APSEC.html)
(http://www.sm.luth.se/csee/courses/smd/104/lectures/Booch_02_ObjectModel/slide0.html)
(http://www.cbc.umn.edu/VirtLibrary/Shoop/SAC93/SAC93.papers.ss.html)
(http://www.cs.wustl.edu/~schmidt/tri-dove.html)
(http://www.mathcs.duq.edu/~softeng/index.html)
(http://www.santafe.edu/~aywong/ooga/ooga.html)
(http://axaonl.cern.ch:8000/a_doc%24www/ONLINE/OO_RESOURCES.HTML)
(http://bilbo.ide.hk-r.se:8080/~michaelm/fwpages/fwbibl.html)
e. Cost-Sensitive Classification: Empirical Evaluation of a Hybrid Genetic Decision Tree
Induction Algorithm
(http://www.cs.washington.edu/research/jair/volume2/turney95a-html/title.html)
f. Gensym Intelligent Real-Time Systems
(http://itobor.ee.washington.edu/G2man/g2doc/g2rm/titlepag.htm)
(http://ncgia.umesve.maine.edu/~max/SR.html)
(http://www.uni-koblenz.de/ag-ki/LP/lp_systems.html)
(http://hla.dmso.mil/projects/)
4. 4
g. Genetic Reports and Statistics
(http://gdb.infobiogen.fr/gdb/report.html)
h. Exploiting System Hierarchy to Compute Repair Plans in Probabilistic Model-based Diagnosis
(http://www.lis.pitt.edu/~dsl/IJCAI95/pradhan.html)
(http://kirchoff.ee.suffolk.edu/~bulyko/barium/Documentation/Reference/tree.html)
i. An Ancient and Occult Genetic Code
(http://ddi.digital.net/~krakowss/code01.htm)
j. The Online Collection of Bibles
(http://www.bibles.net/)
(http://bible.gospelcom.net/bible?version=KJV&passage=all)
(http://bible.gospelcom.net/bible?language=English&version=KJV&passage=1+Corinthians+12)
(http://www.sil.org/linguistics/linguistics.html)
k. The Dictionary of Occupational Titles *
(http://www.wave.net/upg/immigration/dot_index.html)
(http://www.cecer.army.mil/kws/)
(http://www.brooks.af.mil/HSC/products/products.html)
(http://admin.engr.wisc.edu/quest/CLERIC/CLERIC_c.htm)
l. Artificial-Life Simulators and Their Applications *
(http://www.construct.net/tierra/)
(http://alife.santafe.edu/alife/topics/simulators/dret/dret.html)
(http://alife.santafe.edu/alife/topics/jvn/jvn.html)
(http://www.dcs.ed.ac.uk/ipu/ipunew/ipunew.html)
(http://afrodite.itc.it:1024/research-topics/ML-MC-project.html)
(http://www.isi.edu/isd/AA97/software-demo.html)
m. Evolving Software Using Automatic Program Transformation *
(http://www.cs.qub.ac.uk/pub/TechReports/)
(http://auriga.atnf.csiro.au/library/COMPUTING/starlink/sun61.htx/sun61.html)
n. Prototyping Graphical Interfaces to Networked Information
(http://bliss.berkeley.edu/papers/asis93/asis93.html)
(http://ir.dcs.gla.ac.uk/projects/)
(http://www.oclc.org/oclc/research/publications/review94/part2/xscepter.htm)
(http://huachuca-dcd.army.mil/IEWSYS/asas.htm)
(http://www.gordon.army.mil/doctrine/1143/default.htm)
o. Using an Intelligent Agent to Enhance Search Engine Performance
(http://www.public.iastate.edu/~CYBERSTACKS/Aristotle.htm)
(http://www.fas.org/irp/program/sources.htm)
(http://www.fas.org/irp/program/index.html)
(http://www.fas.org/irp/program/core/index.html)
(http://www.fas.org/irp/program/task/index.html)
(http://www.fas.org/irp/program/collect/index.index)
(http://www.fas.org/irp/program/process/index.html)
(http://www.fas.org/irp/program/disseminate/index.html)
(http://www.fas.org/irp/program/other/index.html)
5. 5
(http://www.fas.org/irp/program/list.htm)
(http://www.fas.org/irp/doddir/army/index.html)
(http://155.217.58.58/cgi-bin/atdl.dll?type=fm&school=301)
(http://155.217.58.58/cgi-bin/atdl.dll/fm/34-8-2/default.htm)
(http://155.217.58.58/cgi-bin/atdl.dll/query/info/FM/34-10-13)
(http://155.217.58.58/cgi-bin/atdl.dll/fm/34-2-1/toc.htm)
(http://www.fas.org/irp/doddir/army/fm34-60/)
(http://www.parascope.com/articles/0397/kubark06.htm)
(http://www.parascope.com/articles/0397/kubarkin.htm)
(http://ndcweb.navy.mil/untl/sec5pt2b.htm) ***
p. New Run Parameter Database Library *
(http://rd13doc.cern.ch/public/doc/Note127/Note127_1.html)
(http://rd13doc.cern.ch/public/doc/Note81/Note81.html)
q. Towards a Classification-based Approach to Resource Discovery on the Web
(http://www.scit.wlv.ac.uk/wwlib/position.html)
(http://www.scit.wlv.ac.uk/~ex1253/www7paper/)
(http://sigart.acm.org/proceedings/agents97/A044/A044.html)
r. Complex Subject Classifications
(http://www.math.niu.edu/~rusin/known-math/index/)
(http://www.acm.uiuc.edu/signet/JHSI/cr.D.3.2.html)
(http://dynamics.bu.edu/InterJournal/areas_CX.html)
(http://bubl.ac.uk/journals/alltitles.html)
s. The Extended Computing Reviews Classification Scheme
(http://www.pmms.cam.ac.uk/MR/Crclass.html)
(http://www.acm.org/class/1998/ccs98.html)
t. Events on Neural Networks, Vision, and Speech: Conferences, Congresses, etc.
(http://herens.idiap.ch/NN-events/)
u. On the Construction of Selection Systems
(http://bliss.berkeley.edu/papers/analysis/analysis.html)
(http://bliss.berkeley.edu/papers/assoc/assoc.html)
(http://bliss.berkeley.edu/papers/fffff/fffff.html)
(http://bliss.berkeley.edu/papers/mid-year93/mid-year93.html)
(http://bliss.berkeley.edu/papers/sigir93/sigir93.html)
(http://bliss.berkeley.edu/papers/mid-year92/mid-year92.html)
(http://www.csi.uottawa.ca/~tcl/thesis_html/thesis_ToC.html)
(http://www.sresearch.com)
(http://www.storage.ibm.com/press/san/990217.htm)
v. A Strategic Approach to Data Warehouse Development
(http://www.ozemail.com.au/~visible/papers/IW.html)
(http://www.itcompany.com/cgi-bin/search.cgi)
(http://vlib.stanford.edu/Home.html)
(http://www.lib.lsu.edu/govdocs/index.html)
(http://www.slac.standford.edu/library/documents)
(http://www.dtic.mil/c3i/bprcd/mlibtop.htm)
6. 6
(http://www.fas.org/document.htm)
w. Information Retreival Systems *
(http://www-sul.stanford.edu/depts/swain/edcinf/page85.html)
(http://www.dcs.gla.ac.uk/ir/papers/People/vanRijsbergen.html)
(http://www.dcs.gla.ac.uk/ir/papers/Year/1996.html)
(http://www.dcs.gla.ac.uk/Keith/Preface.html)
(http://www.ccs.neu.edu/home/kenb/key/unified/unified.html)
(http://ftp.ccs.neu.edu/home/kenb/key)
(http://www.ccs.neu.edu/home/kenb/key/highperf/hp.html)
Autonomous Agent Structural Specifications, Devices & Functional Operations
3. The Structural Autonomous Analogies of Intelligence Theories, Strategies, Policies,
Roles, Procedures, Development & Applications.
a. The President’s Foreign Intelligence Advisory Board
(http://www.whitehouse.gov/WH/EOP/pfiab/index.html)
b. The Executive Order – Classified National Security Information
(http://www.army.mil/disc4/aid/nat-sec/execordr.htm)
c. The National Security Strategy for a New Century
(http://www.whitehouse.gov/WH/EOP/NSC/Strategy/)
d. IC21: The Intelligence Community in the 21st
Century
(http://www.fas.org/irp/congress/1996_rpt/ic21/ic21001.htm)
f. Exposing The Global Surveillance System
(http://www.dis.org/erehwon/echelon.html)
e. The Complete, Unofficial TEMPEST Information Page
(http://www.eskimo.com/~joelm/tempest.html)
g. A Guide to Intelligence
(http://www.gulflink.osd.mil/search/intel_sum.html)
(http://www.specialoperations.com)
h. A Guide to Intelligence Collection Methods and Counterintelligence
(http://www.amintel.com)
(http://www.soaw.org/manuals/)
(http://www.tscmplus.com/precatns.htm)
(http://www.nacic.gov/index.htm)
(http://www.ntis.gov/databases/armypub.htm)
(http://www.iit.edu/~dallmic/bibliography.html)
i. Strategic Intelligence
(http://www.loyola.edu/dept/polysci/html/intel.html)
(http://www.noi.org/fbi1.html)
(http://www.noi.org/fbi2.html)
7. 7
j. U.S. Government Documents/The U.S. Intelligence Community
(http://www.columbia.edu/cu/libraries/indiv/dsc/intell.html)
k. World Intelligence and Security Agencies
(http://www.fas.org/irp/world/index.html)
(http://www.fas.org/links.htm)
l. Military Intelligence
(http://www.fas.org/irp/offdocs/int014.html)
(http://www.fas.org/cgi-bin/AT-FASsearch.cgi)
m. FAS Intelligence Resource Program
(http://www.fas.org/irp/doddir/index.html)
(http://www.fas.org/irp/program/list.htm)
n. FAS Military Analysis Network
(http://www.fas.org/man/doctrine.htm)
(http://www.ordnance.cetin.net.cn/usdefense/execsec/adr96/toc.htm)
o. NSA/NCSC Rainbow Series
(http://www.fas.org/irp/nsa/rainbow.htm)
(http://www.fas.org/irp/doddir/doe/index.html)
(http://www.fas.org/irp/doddir/other/index.html)
(http://www.fas.org/irp/hotdocs.htm)
p. Intelligence Resources
(http://www.infomanage.com/international/intelligence/)
(http://www.clark.net/pub/klaatu/home.html)
q. Big Brother Incorporated
(http://www.access.digex.net/~epic/companies.html)
r. Propaganda and Psychological Warfare
(http://www.lafayette.edu/mcglonem/prop.html)
(http://www.specialoperations.com/psyops.html)
(http://www.fas.org/irp/doddir/army/fm33-1/index.html)
(http://www.duke.edu/~jrh6/research_home.html)
(http://mprofaca.cro.net/atpcl.html)
(http://carmen.artsci.washington.edu/propaganda/contents.htm)
(http://www.parascope.com/articles/0497/sublimd.htm)
(http://users.aol.com/armysofl/PSYOPS.html)
(http://members.aol.com/gsuscryst/index.html)
s. Chaos Theory
(http://www.tryoung.com/chaos/chaos.htm)
(http://www.brint.com/Systems.htm)
(http://www.specialforces.net/pubs/FM.htm)
t. The Internet as a Tool for Social Engineering
(http://ptmudge.westsound.com/soc-eng.htm)
(http://www.cycad.com/cgi-bin/Brand/quotes/q20.html?nochoice=y)
8. 8
u. Silent Weapons for Quiet Wars
(http://www.lightlink.com/freezone/mc/swfqw.htm)
(http://home.navisoft.com/entisoft/artofwar.htm)
v. Introduction to Command and Control Warfare
(http://www.navy.mil/homepages/nttc/introduc.htm)
(http://carlisle~www.army.mil/usacsl/org/iw/tutorial/intro.htm)
(http://www.dtic.mil/c3i/)
(http://www.au.af.mil/au/aul/bibs/infowar/if.htm)
w. Information Warfare Sites
(http://www.ida.liu.se/~guniv/Infowar/)
(http://sac.saic.com/)
(http://sac.saic.com/industrial_base_assessments/information_warfare/iwlinks.htm)
(http://www.teg.saic.com/iw.htm)
(http://www.terrorism.com/infowar/wwwlinks.html)
x. Command, Control and Communications Systems
(http://www.cfcsc.dnd.ca/links/milsci/c4.html)
(http://www.disa.mil/)
(http://www.cdsar.af.mil/apj/szfran.html)
(http://www.cdsar.af.mil/apj/szfran.html)
(http://www.fas.org/spp/military/docops/usaf/2025/index.html)
(http://www.ado.army.mil/smrtbook/sbgif18.htm)
(http://www.efdnorth.navfac.navy.mil/cmcs/opening.htm)
(http://www.utilistar.com/industrial/lead.html)
(http://www6.netscape.com/comprod/at_work/white_paper/missioncontrol.html)
y. Information Warfare on the Internet
(http://www.cs.virginia.edu/~alb/misc/infowarDistraction.html)
(http://sac.saic.com/industrial_base_assessments/information_warfare/iwtools.htm)
(http://www.aracnet.com/~gtr/archive/info_war.html)
z. Institute for National Strategic Studies
(http://www.ndu.edu/ndu/inss/siws/cont.html)
aa. Center for Strategic Leadership
(http://carlisle-www.army.mil/usacsl/csl.htm.)
bb. The Terrorism Research Center
(http://www.terrorism.com/cgi-bin/wwwboard3/ctforum.html)
(http://www.fas.org/irp/world/para/index.html)
(http://earthops.org/thewar/assassins.html)
cc. Policy Papers – Hackers and Information Warfare
(http://ink.yahoo.com/bin/query?p=hackers+manuals&hc=0&hs=0)
(http://www.oss.net/Papers/hackers/)
(http://www.hackershomepage.com/index.html)
(http://www.iirg.org/)
(http://www.fas.org/cp/eprint/96/yeary.htm)
9. 9
(http://www.portcullis-security.com/defuse/defuse.htm)
dd. Criminological Evaluations
(http://home.rogerswave.ca/wyssiwyg/report1.htm)
(http://www.fas.org/irp/offdocs/iccs/iccstoc.html)
ee. Alta Analytics - NETMAP
(http://www.hp.com/stlocgov/locgovpages/alta.htm)
(http://www.altaanalytics.com/products.html)
Autonomous Agents, Enterprise Work Architectures and Functional Personnel
4. The Structural Architectures, Strategies, Engineers and Developmental Institutions.
a. Memetics: On a Conceptual Framework for Cultural Evolution
(http://www.sepa.tudelft.nl/webstaf/hanss/einst.htm)
(http://www.sepa.tudelft.nl/webstaf/hanss/orgev.htm)
(http://florin.syr.edu/~crowston/papers/evol-struct.html)
b. Structuring Chromosomes for Total Neural Network Evolution
(http://www.ph.tn.tudelft.nl/PRInfo/reports/msg00153.html)
(http://eseso12.essex.ac.uk/~sml/papers.html)
(http://www.cs.bgu.ac.il/~omri/NNUGA/)
(http://alife6.alife.org/abstracts/EV78.html)
(http://nano.xerox.com/nanotech/selfRepNATO.html)
(http://lorenz.mur.csu.edu.au/complex/library/0LearningSystems.html)
c. Enterprise Architectures Five Classes of Technology
(http://www.amsinc.com/Services/EnterpriseWeb/en.html)
d. The National Industrial Information Infrastructure Protocols Consortium
(http://www.niip.org/public-forum/NTR95-01/NTR95-01-HTML/RAShort_2.html)
e. Computer Supported Cooperative Work (CSCW) and Groupware
(http://www.informatik.umu.se/~rwhit/CSCW.html)
(http://www.netlib.org/utk/lsi/pcwLSI/text/node1.html)
f. Comparative Reference of Cognitive Architectures
(http://ai.eecs.umich.edu/cogarch3/)
(http://www.asel.udel.edu/nli/pubs/1995/Zickus95.txt)
g. A Certificate Management System: Structure, Functions and Protocols
(http://www.entegrity.com/papers/cms-ieee.html)
10. 10
The Strategies for NAME’s Autonomous DOSA Organizational Development
5. The Autonomous Organizational Strategies for Electronic Commerce and Monetary
Exchanges.
a. Sun Microsystems Launches Frontal Assault On $28 Billion Heterogeneous Enterprise
Strorage Market
(http://www.sun.com/smi/Press/sunflash/9801/sunflash.980128.2.html)
(http://www.workframe.com/WFI_Corp/BusProcDesign.htm)
(http://stimap.matrixlinks.ca/STLinks/STPolicyindex1.html)
(http://qsilver.queensu.ca/business/research/work_pap/obir_wp.htm)
(http://www.sun.com/solaris/intranet/wp-interop/)
(http://ai.iit.nrc.ca/IR_public/ids/description.html)
b. Electronic Commerce Theories and Systems *
(http://www.iitf.nist.gov/eleccomm/execsu.htm)
(http://www.fecrc.com/)
(http://www.armyec.sra.com/home_main.htm)
(http://cism.bus.utexas.edu/works/articles.html)
(http://www.ispo.cec.be/ecommerce/introduc.htm)
(http://net.gap.net/content.htm)
(http://www.email.demon.co.uk/eees/eees.htm)
(http://www.gvnfo.state.ut.us/sitc/elec-com/elec-com.htm)
(http://www.tapnet.com/ec.htm)
(http://www.oakland.ecrc.org/gloss3.html)
c. PRAXIS – Resources for Social and Economic Developmeent
(http://caster.ssw.upenn.edu/~restes/praxis.html)
(http://www.transactionpub.com/gencat97/series97.html)
d. The Economics of Networks
(http://raven.stern.nyu.edu/networks/site.html)
(http://raven.stern.nyu.edu/networks/top.html)
e. Organizational Measurement & Engineering
(http://www.ome1.com/Theory.TableOfContents.HTML)
(http://www.co-i-l.com/coil/knowledge-garden/oi/books/odp/index.shtml)
f. Organizational Accounting Manuals
(http://www.window.state.tx..us/comptrol/san/fm_manuals/index.html)
(http://www.tns.lcs.mit.edu/uscode/TITLE_26/Subtitle_A/CHAPTER_1/Subchapter_E/
PART_II/toc.html)
(http://www.admin.ufl.edu/DIVISION/FA/hb_c04c.htm)
(http://www.ideas.uqam.ca/ideas/data/Papers/wopprwawp_044.html)
g. Manufacturing Control Systems
(http://www.samsonsindia.com/detail.htm)
(http://www.optika.com/MKTG/Data_Sheet/powerflw.htm)
(http://www.zen.co.uk/cim.inst/research/pdm/pdmindex.html)
11. 11
h. Data Warehousing in Telephone Networks 1998-2003
(http://www.insight-corp.com/dataware.html)
i. NASA Strategic Management Handbook
(http://www.hq.nasa.gov/office/codez/strahand/toc.htm)
(http://www.ou.edu/class/busad4013/docs/pptch9/index.htm)
(http://www.ou.edu/class/busad4013/docs/pptch11/index.htm)
(http://www.adis.psu.edu/new/divplan.htm)
j. Strategies & Tactics
(http://www.strategies-tactics.com/index.htm)
(http://caag.state.ca.us/piu/sampreg.htm)
(http://xre22.brooks.af.mil/HSCProject/hsc96spv2.htm)
(http://www.informs.org/Conf/WA96/TALKS/SA17.html)
k. The Total Army Distance Learning Program
(http://www-dcst.monroe.army.mil/adlp/distancelearning/master/toc.html)
(http://www.academy.jccbi.gov/ama300b2/)
(http://www.lucent.dk/cedl/strategy.html)
(http://www.pgc.com/pgc/vtf/vtf-page-00.html)
(http://www.uni-freiburg.de/rz/inet96/c8/c8_2.htm)
(http://mcoeweb.marin.k12.ca.us/reed/tmpphases.htm)