Future Direction

14,000,000 Leading Edge Experts on the ideXlab platform

Scan Science and Technology

Contact Leading Edge Experts & Companies

Scan Science and Technology

Contact Leading Edge Experts & Companies

The Experts below are selected from a list of 265026 Experts worldwide ranked by ideXlab platform

A S Nejad - One of the best experts on this subject based on the ideXlab platform.

  • Future Direction of supersonic combustion research air force nasa workshop on supersonic combustion
    35th Aerospace Sciences Meeting and Exhibit, 1997
    Co-Authors: Tishkoff M Julian, Drummond J Philip, T Edwards, A S Nejad
    Abstract:

    The Air Force Office of Scientific Research, the Air Force Wright Laboratory Aero Propulsion and Power Directorate, and the NASA Langley Research Center held a joint supersonic combustion workshop on 14-16 May 1996. The intent of this meeting was to: (1) examine the current state-of-the-art in hydrocarbon and/or hydrogen fueled scramjet research; (2) define the Future Direction and needs of basic research in support of scramjet technology; and (3) when appropriate, help transition basic research findings to solve the needs of developmental engineering programs in the area of supersonic combustion and fuels. A series of topical sessions were planned. Opening presentations were designed to focus and encourage group discussion and scientific exchange. The last half-day of the workshop was set aside for group discussion of the issues that were raised during the meeting for defining Future research opportunities and Directions. This paper summarizes the discussions that took place at the workshop.

  • Future Direction of Supersonic Combustion Research: Air Force/NASA Workshop on Supersonic Combustion
    35th Aerospace Sciences Meeting and Exhibit, 1997
    Co-Authors: M Tishkoff Julian, Drummond J Philip, T Edwards, A S Nejad
    Abstract:

    The Air Force Office of Scientific Research, the Air Force Wright Laboratory Aero Propulsion and Power Directorate, and the NASA Langley Research Center held a joint supersonic combustion workshop on 14-16 May 1996. The intent of this meeting was to: (1) examine the current state-of-the-art in hydrocarbon and/or hydrogen fueled scramjet research; (2) define the Future Direction and needs of basic research in support of scramjet technology; and (3) when appropriate, help transition basic research findings to solve the needs of developmental engineering programs in the area of supersonic combustion and fuels. A series of topical sessions were planned. Opening presentations were designed to focus and encourage group discussion and scientific exchange. The last half-day of the workshop was set aside for group discussion of the issues that were raised during the meeting for defining Future research opportunities and Directions. This paper summarizes the discussions that took place at the workshop.

Akira Funahashi - One of the best experts on this subject based on the ideXlab platform.

  • Predicting the Future Direction of cell movement with convolutional neural networks.
    PloS one, 2019
    Co-Authors: Shori Nishimoto, Yuta Tokuoka, Takahiro Yamada, Noriko Hiroi, Akira Funahashi
    Abstract:

    Image-based deep learning systems, such as convolutional neural networks (CNNs), have recently been applied to cell classification, producing impressive results; however, application of CNNs has been confined to classification of the current cell state from the image. Here, we focused on cell movement where current and/or past cell shape can influence the Future cell movement. We demonstrate that CNNs prospectively predicted the Future Direction of cell movement with high accuracy from a single image patch of a cell at a certain time. Furthermore, by visualizing the image features that were learned by the CNNs, we could identify morphological features, e.g., the protrusions and trailing edge that have been experimentally reported to determine the Direction of cell movement. Our results indicate that CNNs have the potential to predict the Future Direction of cell movement from current cell shape, and can be used to automatically identify those morphological features that influence Future cell movement.

  • Predicting the Future Direction of cell movement with convolutional neural networks
    2018
    Co-Authors: Shori Nishimoto, Yuta Tokuoka, Takahiro Yamada, Noriko Hiroi, Akira Funahashi
    Abstract:

    Image-based deep learning systems, such as convolutional neural networks (CNNs), have recently been applied to cell classification, producing impressive results; however, application of CNNs has been confined to classification of the current cell state from the image. Here, we focused on dynamic cell movement where current and/or past cell shape can influence the Future cell fate. We demonstrate that CNNs prospectively predicted the Future Direction of cell movement with high accuracy from a single image patch of a cell at a certain time. Furthermore, by visualizing the image features that were learned by the CNNs and contributed to their prediction, we could identify morphological features, e.g., the protrusions and trailing edge that have been experimentally reported to determine the Direction of cell movement. Our results indicate that CNNs have the potential to predict the Future cell fate from current cell shape, and can be used to automatically identify those morphological features that influence Future cell fate.

Adetoyege Oyeyemi - One of the best experts on this subject based on the ideXlab platform.

  • Physiotherapy Education: Global Trends, Perspectives and Future Direction
    African Journal of Physiotherapy and Rehabilitation Sciences, 2011
    Co-Authors: Adetoyege Oyeyemi
    Abstract:

    The advances in technology and the recent transformation in global communication, which are increasingly reducing the spatial limitation in education, have influenced perspectives on how education is delivered. This paper presents a global trend in higher education with particular reference to education and training in physiotherapy and other health professions. It outlines the variables and models of education, the competencies in allied health and medical education and also discusses the relevance and resource needs to internationalize physiotherapy education in Nigeria. Instituting transnational education in Nigeria will require improvements in electronic pedagogical infrastructure and learning resources and curriculum enhancements, and may also require contributions from Nigerians in the Diaspora. Keywords: Physiotherapy education, Future Direction, international education, transnational education

  • Fifty Years of Physiotherapy in Nigeria: Trends, perspectives and Future Direction
    2009
    Co-Authors: Adetoyege Oyeyemi
    Abstract:

    Knowledge of the determinants and evolution of quality in health practice and training enriches our understanding and interpretation of the current trends and also deepens our perspective on the Future Direction of the physiotherapy profession and training. This article describes the emergence of the dominant model of physiotherapy practice and training. The paper discusses historical trends in the perception of medical practice and professional training and relates this to the contemporary trends and the Future Direction of physiotherapy in Nigeria. It articulates a path of growth to maturation of the physiotherapy profession in Nigeria that would lie in maximizing and leveraging the capabilities of the Nigerian professional organization, provide an enhanced basic, preferably doctorate level professional education, and opportunities for specialization.

Tidi Hassan - One of the best experts on this subject based on the ideXlab platform.

  • challenges and Future Direction of molecular research in air pollution related lung cancers
    Lung Cancer, 2018
    Co-Authors: Maizatul Syafinaz Shahadin, Nurul Syakima Ab Mutalib, Mohd Talib Latif, Catherine M Greene, Tidi Hassan
    Abstract:

    Abstract Hazardous air pollutants or chemical release into the environment by a variety of natural and/or anthropogenic activities may give adverse effects to human health. Air pollutants such as sulphur dioxide (SO2), nitrogen oxides (NOx), carbon monoxide (CO), heavy metals and particulate matter (PM) affect number of different human organs, especially the respiratory system. The International Agency for Research on Cancer (IARC) reported that ambient air pollution is a cause of lung cancer. Recently, the agency has classified outdoor air pollution as well as PM air pollution as Group 1 carcinogens. In addition, several epidemiological studies have shown a positive association between air pollutants to lung cancer risks and mortality. However, there are only a few studies examining the molecular effects of air pollution exposure specifically in lung cancer due to multiple challenges to mimic air pollution exposure in basic experimentation. Another major issue is the lack of adequate adjustments for exposure misclassification as air pollution may differ temporo-spatially and socioeconomically. Thus, the purpose of this paper is to review the current molecular understanding of air pollution-related lung cancer and potential Future Direction in this challenging yet important research field.

Ibrahim Matta - One of the best experts on this subject based on the ideXlab platform.

  • ICNP - SDN Management Layer: Design Requirements and Future Direction
    2014 IEEE 22nd International Conference on Network Protocols, 2014
    Co-Authors: Yuefeng Wang, Ibrahim Matta
    Abstract:

    Computer networks are becoming increasingly complex and difficult to manage. The research community has been expending a lot of efforts to come up with a general management paradigm that is able to hide the details of the physical infrastructure and enable flexible network management. Software Defined Networking (SDN) is such a paradigm that simplifies network management and enables network innovations. In this survey paper, by reviewing existing SDN management layers (platforms), we identify the general common management architecture for SDN networks, and further identify the design requirements of the management layer that is at the core of the architecture. We also point out open issues and weaknesses of existing SDN management layers. We conclude with a promising Future Direction for improving the SDN management layer.