The Future Direction of Research

Trepanation ◽  
2003 ◽  
pp. 377-386
Keyword(s):  
The Future ◽  
Future Direction

Characteristics of Asian Mosquito Saliva Allergens for Specific Diagnoses and Effective Therapies

2020 ◽  
Vol 21 (2) ◽  
pp. 153-158 ◽  
Author(s):  
Soung-Hoo Jeon
Keyword(s):  
Allergic Reaction ◽  
East Asia ◽  
East Asian ◽  
Diagnosis And Treatment ◽  
Recombinant Allergens ◽  
Systemic Reactions ◽  
The Future ◽  
Mosquito Saliva ◽  
The Difference ◽  
Future Direction

An allergic reaction to mosquitoes can result in severe or abnormal local or systemic reactions such as anaphylaxis, angioedema, and general urticarial or wheezing. The aim of this review is to provide information on mosquito saliva allergens that can support the production of highly specific recombinant saliva allergens. In particular, candidate allergens of mosquitoes that are well suited to the ecology of mosquitoes that occur mainly in East Asia will be identified and introduced. By doing so, the diagnosis and treatment of patients with severe sensitivity to mosquito allergy will be improved by predicting the characteristics of East Asian mosquito allergy, presenting the future direction of production of recombinant allergens, and understanding the difference between East and West.

A Conversation on Student Affairs Scholarship

NASPA Journal ◽  
2002 ◽  
Vol 39 (2) ◽  
Author(s):  
Larry D. Roper
Keyword(s):  
Student Affairs ◽  
Electronic Format ◽  
The Past ◽  
The Future ◽  
Journal Editorial ◽  
Future Direction

For the past 18 months the NASPA Journal Editorial Board has been engaged in an ongoing conversation about the future direction of the Journal. Among the issues we have discussed are: What should comprise the content of the Journal?, How do we decide when or if we will move the Journal to an electronic format?, What do our members want in the Journal?, and What type of scholarship should we be publishing? The last question — What type of scholarship should we be publishing? — led to an energetic conversation within the Editorial Board.

Development and Application of API Risk Based Inspection Planning for Petroleum and Petrochemical Facilities

2000 ◽  
Author(s):  
John T. Reynolds
Keyword(s):  
Chemical Industry ◽  
Development Phase ◽  
Inspection Planning ◽  
User Experiences ◽  
The Future ◽  
The Status ◽  
Future Direction

Abstract This paper describes the status of the API project to develop and maintain Risk-Based Inspection (RBI) methodology for application within the petroleum and chemical industry. The original project has now moved from a “development” phase into an “implement and improve” phase. This paper describes the essential features of API RBI, the most recent enhancements, software features, the future direction for the project, and some user experiences. This paper also describes the acceptance of RBI by various API codes and standards, by jurisdictional authorities, and it also describes the development of an API recommended practice on RBI (API RP 580) as well as the development of an ASME standard on RBI.

scholarly journals Predicting the future direction of cell movement with convolutional neural networks

2018 ◽  
Author(s):  
Shori Nishimoto ◽  
Yuta Tokuoka ◽  
Takahiro G Yamada ◽  
Noriko F Hiroi ◽  
Akira Funahashi
Keyword(s):  
Neural Networks ◽  
Cell Fate ◽  
Convolutional Neural Networks ◽  
Cell Shape ◽  
Cell Movement ◽  
Image Features ◽  
Morphological Features ◽  
Current Cell ◽  
The Future ◽  
Future Direction

SummaryImage-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 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, 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.

Study on Byproducts Recycling in Eco-Industrial Parks

2013 ◽  
Vol 788 ◽  
pp. 288-292 ◽  
Author(s):  
Xiao Long Gao ◽  
Rui Qing Li ◽  
Ran Li
Keyword(s):  
Quantitative Assessment ◽  
Industrial Symbiosis ◽  
Industrial System ◽  
Industrial Parks ◽  
The Future ◽  
Two Indices ◽  
The Stability ◽  
Future Direction

Eco-industrial parks represent the future direction of the development of industrial system. In order to reduce their impacts on the environment, and increase the recycling degree of byproducts , this paper has made quantitative assessment on the stability of byproducts recycling web and the rate of byproducts recycling by two indices. Based on the existing research, the thesis has contributed to applying the indices to the Kalundborg industrial symbiosis, the example of EIPs. By calculating the two indices, results have proved the feasibility of the indices. However, efforts should be paid to achieve the accuracy and integrity of data.

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