An Ecommerce Platform and Decision Support for Plants with Comprehensive Information

This chapter investigates the challenges and opportunities associated with planning for a competitive city. The chapter is based on the assumption that a healthy city is a fundamental prerequisite for a competitive city. Thus, it is critical to examine the local determinants of health and factor these into any planning efforts. The main focus of the chapter is on e-health planning by utilising Web-based geographic decision support systems. The proposed novel decision support system would provide a powerful and effective platform for stakeholders to access essential data for decision-making purposes. The chapter also highlights the need for a comprehensive information framework to guide the process of planning for healthy cities. Additionally, it discusses the prospects and constraints of such an approach. In summary, this chapter outlines the potential insights of using an information science-based framework and suggests practical planning methods as part of a broader e-health approach for improving the health characteristics of competitive cities.

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The Tumor Profiler Study: Integrated, multi-omic, functional tumor profiling for clinical decision support

10.1101/2020.02.13.20017921 ◽

2020 ◽

Cited By ~ 4

Author(s):

Anja Irmisch ◽

Ximena Bonilla ◽

Stéphane Chevrier ◽

Kjong-Van Lehmann ◽

Franziska Singer ◽

...

Keyword(s):

Decision Support ◽

Clinical Decision Support ◽

Clinical Decision Making ◽

Biomarker Discovery ◽

Digital Pathology ◽

Predictive Biomarker ◽

Clinical Decision ◽

Technological Advances ◽

Comprehensive Information ◽

Spatial Composition

AbstractRecent technological advances allow profiling of tumor samples to an unparalleled level with respect to molecular and spatial composition as well as treatment response. We describe a prospective, observational clinical study performed within the Tumor Profiler (TuPro) Consortium that aims to show the extent to which such comprehensive information leads to advanced mechanistic insights of a patient’s tumor, enables prognostic and predictive biomarker discovery, and has the potential to support clinical decision making. For this study of melanoma, ovarian carcinoma, and acute myeloid leukemia tumors, in addition to the emerging standard diagnostic approaches of targeted NGS panel sequencing and digital pathology, we perform extensive characterization using the following exploratory technologies: single-cell genomics and transcriptomics, proteotyping, CyTOF, imaging CyTOF, pharmacoscopy, and 4i drug response profiling (4i DRP). In this work, we outline the aims of the TuPro study and present preliminary results on the feasibility of using these technologies in clinical practice showcasing the power of an integrative multi-modal and functional approach for understanding a tumor’s underlying biology and for clinical decision support.

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Developing a Competitive City through Healthy Decision-Making

Data Mining ◽

10.4018/978-1-4666-2455-9.ch081 ◽

2013 ◽

pp. 1545-1558

Author(s):

Ori Gudes ◽

Elizabeth Kendall ◽

Tan Yigitcanlar ◽

Jung Hoon Han ◽

Virendra Pathak

Keyword(s):

Decision Making ◽

Decision Support ◽

Information Science ◽

Health Planning ◽

Healthy City ◽

Web Based ◽

Comprehensive Information ◽

Challenges And Opportunities ◽

Planning Methods ◽

Information Framework

This chapter investigates the challenges and opportunities associated with planning for a competitive city. The chapter is based on the assumption that a healthy city is a fundamental prerequisite for a competitive city. Thus, it is critical to examine the local determinants of health and factor these into any planning efforts. The main focus of the chapter is on e-health planning by utilising Web-based geographic decision support systems. The proposed novel decision support system would provide a powerful and effective platform for stakeholders to access essential data for decision-making purposes. The chapter also highlights the need for a comprehensive information framework to guide the process of planning for healthy cities. Additionally, it discusses the prospects and constraints of such an approach. In summary, this chapter outlines the potential insights of using an information science-based framework and suggests practical planning methods as part of a broader e-health approach for improving the health characteristics of competitive cities.

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Developing a Competitive City through Healthy Decision-Making

City Competitiveness and Improving Urban Subsystems - Advances in Electronic Government, Digital Divide, and Regional Development ◽

10.4018/978-1-61350-174-0.ch006 ◽

2013 ◽

pp. 107-121 ◽

Cited By ~ 2

Author(s):

Ori Gudes ◽

Elizabeth Kendall ◽

Tan Yigitcanlar ◽

Jung Hoon Han ◽

Virendra Pathak

Keyword(s):

Decision Making ◽

Decision Support ◽

Information Science ◽

Health Planning ◽

Healthy City ◽

Web Based ◽

Comprehensive Information ◽

Challenges And Opportunities ◽

Planning Methods ◽

Information Framework

This chapter investigates the challenges and opportunities associated with planning for a competitive city. The chapter is based on the assumption that a healthy city is a fundamental prerequisite for a competitive city. Thus, it is critical to examine the local determinants of health and factor these into any planning efforts. The main focus of the chapter is on e-health planning by utilising Web-based geographic decision support systems. The proposed novel decision support system would provide a powerful and effective platform for stakeholders to access essential data for decision-making purposes. The chapter also highlights the need for a comprehensive information framework to guide the process of planning for healthy cities. Additionally, it discusses the prospects and constraints of such an approach. In summary, this chapter outlines the potential insights of using an information science-based framework and suggests practical planning methods as part of a broader e-health approach for improving the health characteristics of competitive cities.

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Modern TEM systems architecture

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100144486 ◽

1986 ◽

Vol 44 ◽

pp. 602-605

Author(s):

U. Gross ◽

P. Hagemann

Keyword(s):

Electron Microscope ◽

Information Gathering ◽

Systems Architecture ◽

Control Functions ◽

Transmission Electron ◽

New Information ◽

Comprehensive Information ◽

Scanning Transmission ◽

Diffraction Patterns ◽

Analytical Equipment

By addition of analytical equipment, scanning transmission accessories and data processing equipment the basic transmission electron microscope (TEM) has evolved into a comprehensive information gathering system. This extension has led to increased complexity of the instrument as compared with the straightforward imaging microscope, since in general new information capacity has required the addition of new control hardware. The increased operational complexity is reflected in a proliferation of knobs and buttons.In the conventional electron microscope design the operating panel of the instrument has distinct control elements to alter optical conditions of the microscope column in different modes. As a consequence a multiplicity of control functions has been inevitable. Examples of this are the three pairs of focus and magnification controls needed for TEM imaging, diffraction patterns, and STEM images.

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