Engine Life Measurement and Diagnostics: The Future Direction for the Air Force

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 ◽

10.2202/0027-6014.1162 ◽

2002 ◽

Vol 39 (2) ◽

Cited By ~ 1

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.

The Future Direction of Nutrition Research: Nutrition Science Reflects the Principals of Biological Organization

Journal of Nutrition ◽

10.1093/jn/119.3.515 ◽

1989 ◽

Vol 119 (3) ◽

pp. 515-517

Author(s):

Felix Bronner

Keyword(s):

Biological Organization ◽

Nutrition Science ◽

Nutrition Research ◽

The Future ◽

Future Direction

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

10.1115/imece2000-1034 ◽

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.

Confirmation of Correction After Close of Hearing at the Patent Court and the Future Direction of Trial Practice

Journal of Industrial Property ◽

10.36669/ip.2021.67.4 ◽

2021 ◽

Vol 67 ◽

pp. 145-178

Author(s):

MIN SEUNG KU ◽

Keyword(s):

The Future ◽

Future Direction

The Future Direction of Research

Trepanation ◽

10.1201/b16983-32 ◽

2003 ◽

pp. 377-386

Keyword(s):

The Future ◽

Future Direction

Comparative Study of a Powerplant Life Consumption Rate When Installed in Two Different Aircraft Variants

Aerospace ◽

10.3390/aerospace8110327 ◽

2021 ◽

Vol 8 (11) ◽

pp. 327

Author(s):

Ioannis Templalexis ◽

Ioannis Lionis ◽

Nikolaos Christou

Keyword(s):

Air Force ◽

Consumption Rate ◽

Low Cycle Fatigue ◽

Rotor Blades ◽

Parameter Method ◽

Great Level ◽

Consumption Rates ◽

Life Consumption ◽

Mission Profile ◽

Engine Life

The Hellenic Air Force (HAF) operates both EMB-145 and EMB-135 LR versions of Embraer aircraft, used in surveillance and civil missions respectively. These aircraft are equipped with the same version of Rolls Royce, AE 3007 turbofan engine. This study aims to quantify and compare the life consumption rate of this engine when installed in each of the two aircraft variants. Two typical missions, one for each variant, were constructed based on mission profile data dictated by the aircraft commanders. For each mission profile segment, corresponding engine data were matched out of the engine recordings archives held by the Hellenic Air Force. The life consumption rate was based on the Low Cycle Fatigue (LCF) and creep cumulative detrimental effect on the rotor blades of the 1st High-Pressure Turbine stage. For the LCF, the rainflow method was used to determine the respective loading cycles, whereas the Larson - Miller parameter method was used to determine the consumed life fractions due to creep. The main conclusion of the study was that the engine when installed in the EMB-145 military variant, is much more loaded. Despite the fact absolute life consumption values could hide a great level of uncertainty, the comparative outcomes wherein errors are, to a certain extent, cancelled out, could be used as a rule of thumb when monitoring engine life consumption rates.

Predicting the future direction of cell movement with convolutional neural networks

10.1101/388033 ◽

2018 ◽

Cited By ~ 1

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.