Role of Aviation in Seamless End-to-End Mobility

Purpose of the article: analysis of the experience of implementing end-to-end technologies in vocational education. Methodology: the article presents a study aimed at identifying the role of end-to-end technologies in the professional training of students. For this, a survey was conducted among students on the use of end-to-end technologies in the educational process in three age categories (junior, middle, senior). Students had to assess the importance of end-to-end technologies for the implementation of the educational process on a scale from 1 to 4. Results: Students note the significant role of end-to-end technologies in professional activities. This is a promising direction for the development of vocational education.

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Sterilization Modality Selection: Role of Sterility Assurance Subject Matter Expert

Biomedical Instrumentation & Technology ◽

10.2345/0899-8205-55.s3.67 ◽

2021 ◽

Vol 55 (s3) ◽

pp. 67-77

Author(s):

Jami McLaren ◽

Joyce M. Hansen ◽

Vu Le

Keyword(s):

Supply Chain ◽

Subject Matter ◽

Selection Process ◽

Collaborative Partnerships ◽

Supply Chain Logistics ◽

End To End ◽

Negative Impacts ◽

Assurance Process ◽

Selection Of

Abstract Selection of a sterilization modality for a medical device is a critical decision that requires sterility assurance subject matter experts (SME)s to work collaboratively with various company functions. The sterility assurance SME is responsible and accountable for the sterilization modality decision for a product. The modality selection process starts with the sterility assurance SME partnering with research and development to ensure that the sterilization modality allows the device to deliver its intended function in patient care. After the sterilization modality is selected, the sterility assurance SME needs to work with other partners, including quality, supply chain/logistics, operations, and regulatory, to ensure that the selected sterilization modality is appropriately integrated into the end-to-end process. Collaborative partnerships between sterility assurance experts and key partners regarding sterilization modality selection reduce the potential for negative impacts within the end-to-end sterility assurance process, including impacts on product functionality, increased regulatory approval timelines, and inefficiencies and risks throughout the supply chain. This article describes aspects of a comprehensive approach to sterilization modality selection, including critical information necessary to address each of the key considerations.

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Real World Applications

Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics - Advances in Computational Intelligence and Robotics ◽

10.4018/978-1-4666-9644-0.ch004 ◽

2016 ◽

pp. 113-132

Author(s):

Ibibia K. Dabipi ◽

Judy A. Perkins ◽

Tierney Moore

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Real World ◽

Chain Structure ◽

Total Asset ◽

Chain Management ◽

Real World Applications ◽

End To End ◽

Supply Chain Structure

Over the years the supply chain industry has been transforming to improve the end-to-end (production to delivery) process. Supply chain management (SCM) allows various industries to oversee and better handle how their product is manufactured and delivered. It allows them to track and identify the location of the product and to be more efficient in delivery. Integrating total asset visibility (TAV) technology into the supply chain structure can provide excellent visibility of a product. This kind of visibility complemented with various packaging schemes can assist in accommodating optimization strategies for visualizing the movement of a product throughout the entire supply chain pipeline. The chapter will define SCM, discuss TAV, review how transportation as well as optimization impacts SCM and TAV, and examine the role of packaging in the context of SCM and TAV.

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An Adaptive End-to-End Classification Approach for Mobile Laser Scanning Point Clouds Based on Knowledge in Urban Scenes

Remote Sensing ◽

10.3390/rs11020186 ◽

2019 ◽

Vol 11 (2) ◽

pp. 186 ◽

Cited By ~ 2

Author(s):

Mingxue Zheng ◽

Huayi Wu ◽

Yong Li

Keyword(s):

Laser Scanning ◽

Point Clouds ◽

Basic Knowledge ◽

Multiple Objects ◽

Urban Scenes ◽

Knowledge Based ◽

Training Samples ◽

End To End ◽

Heavy Training

It is fundamental for 3D city maps to efficiently classify objects of point clouds in urban scenes. However, it is still a large challenge to obtain massive training samples for point clouds and to sustain the huge training burden. To overcome it, a knowledge-based approach is proposed. The knowledge-based approach can explore discriminating features of objects based on people’s understanding of the surrounding environment, which exactly replaces the role of training samples. To implement the approach, a two-step segmentation procedure is carried out in this paper. In particular, Fourier Fitting is applied for second adaptive segmentation to separate points of multiple objects lying within a single group of the first segmentation. Then height difference and three geometrical eigen-features are extracted. In comparison to common classification methods, which need massive training samples, only basic knowledge of objects in urban scenes is needed to build an end-to-end match between objects and extracted features in the proposed approach. In addition, the proposed approach has high computational efficiency because of no heavy training process. Qualitative and quantificational experimental results show the proposed approach has promising performance for object classification in various urban scenes.

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Distinctive role of histidine-16 of the B beta chain of fibrinogen in the end-to-end association of fibrin.

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.83.3.591 ◽

1986 ◽

Vol 83 (3) ◽

pp. 591-593 ◽

Cited By ~ 22

Author(s):

A. Shimizu ◽

Y. Saito ◽

Y. Inada

Keyword(s):

Beta Chain ◽

End To End ◽

Distinctive Role

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Automated chest radiograph diagnosis: A Twofer for Tuberculosis and Covid-19

10.1101/2020.10.13.20178483 ◽

2020 ◽

Author(s):

Mitushi Verma ◽

Deepak Patkar ◽

Madhura Ingalharikar ◽

Amit Kharat ◽

Pranav Ajmera ◽

...

Keyword(s):

Artificial Intelligence ◽

X Ray ◽

Recent Onset ◽

Radiology Reports ◽

Fast Spreading ◽

Digital Chest ◽

Chest X Ray ◽

End To End ◽

The Times

AbstractCoronavirus disease (Covid 19) and Tuberculosis (TB) are two challenges the world is facing. TB is a pandemic which has challenged mankind for ages and Covid 19 is a recent onset fast spreading pandemic. We study these two conditions with focus on Artificial Intelligence (AI) based imaging, the role of digital chest x-ray and utility of end to end platform to improve turnaround times. Using artificial intelligence assisted technology for triage and creation of structured radiology reports using an end to end platform can ensure quick diagnosis. Changing dynamics of TB screening in the times of Covid 19 pandemic have resulted in bottlenecks for TB diagnosis. The paper tries to outline two types of use cases, one is COVID-19 screening in a hospital-based scenario and the other is TB screening project in mobile van setting and discusses the learning of these models which have both used AI for prescreening and generating structured radiology reports.

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