scholarly journals Investigating the effectiveness of a ground support system implemented on Block A: A case study of Southern Africa Metalliferous Mine

2022 ◽  
Vol 21 (1) ◽  
pp. 15
Author(s):  
Kamogelo Manyelo ◽  
Peter Kolapo
Keyword(s):  
Support System ◽  
Southern Africa ◽  
Ground Support

Reflection on Learner-Led Study Abroad Events in a SAC from Three Perspectives: A Learner, an Administrative Staff Member, and an Advisor

Relay Journal ◽  
2020 ◽  
pp. 66-79
Author(s):  
Mizuki Shibata ◽  
Chihiro Hayashi ◽  
Yuri Imamura
Keyword(s):  
Study Abroad ◽  
Language Learning ◽  
Support System ◽  
Staff Member ◽  
Administrative Staff ◽  
Multiple Reflections ◽  
Learning Space ◽  
Japanese University ◽  
Staff Members

This paper reports on a case study of learner-led study-abroad events in the language learning space at a Japanese University. We present multiple reflections on the events from different perspectives: the event organizer (student), an administrative staff member, and a learning advisor working at the center. We also introduce the support system that a group of administrative staff members and learning advisors are in charge of helping learners to hold their events. Moreover, throughout our reflections, several factors that made the learner-led study-abroad events sustainable and successful are demonstrated.

scholarly journals Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study

2021 ◽  
Author(s):  
Suzanne L. van Winkel ◽  
Alejandro Rodríguez-Ruiz ◽  
Linda Appelman ◽  
Albert Gubern-Mérida ◽  
Nico Karssemeijer ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Artificial Intelligence ◽  
Cancer Detection ◽  
Support System ◽  
Reading Time ◽  
Digital Breast Tomosynthesis ◽  
Breast Tomosynthesis ◽  
Screening Programs ◽  
The Impact

Abstract Objectives Digital breast tomosynthesis (DBT) increases sensitivity of mammography and is increasingly implemented in breast cancer screening. However, the large volume of images increases the risk of reading errors and reading time. This study aims to investigate whether the accuracy of breast radiologists reading wide-angle DBT increases with the aid of an artificial intelligence (AI) support system. Also, the impact on reading time was assessed and the stand-alone performance of the AI system in the detection of malignancies was compared to the average radiologist. Methods A multi-reader multi-case study was performed with 240 bilateral DBT exams (71 breasts with cancer lesions, 70 breasts with benign findings, 339 normal breasts). Exams were interpreted by 18 radiologists, with and without AI support, providing cancer suspicion scores per breast. Using AI support, radiologists were shown examination-based and region-based cancer likelihood scores. Area under the receiver operating characteristic curve (AUC) and reading time per exam were compared between reading conditions using mixed-models analysis of variance. Results On average, the AUC was higher using AI support (0.863 vs 0.833; p = 0.0025). Using AI support, reading time per DBT exam was reduced (p < 0.001) from 41 (95% CI = 39–42 s) to 36 s (95% CI = 35– 37 s). The AUC of the stand-alone AI system was non-inferior to the AUC of the average radiologist (+0.007, p = 0.8115). Conclusions Radiologists improved their cancer detection and reduced reading time when evaluating DBT examinations using an AI reading support system. Key Points • Radiologists improved their cancer detection accuracy in digital breast tomosynthesis (DBT) when using an AI system for support, while simultaneously reducing reading time. • The stand-alone breast cancer detection performance of an AI system is non-inferior to the average performance of radiologists for reading digital breast tomosynthesis exams. • The use of an AI support system could make advanced and more reliable imaging techniques more accessible and could allow for more cost-effective breast screening programs with DBT.

THE ‘NATIVE’ UNDEFINED: COLONIAL CATEGORIES, ANGLO-AFRICAN STATUS AND THE POLITICS OF KINSHIP IN BRITISH CENTRAL AFRICA, 1929–38

2005 ◽  
Vol 46 (3) ◽  
pp. 455-478 ◽  
Author(s):  
CHRISTOPHER JOON-HAI LEE
Keyword(s):  
Southern Africa ◽  
Central Africa ◽  
Mixed Race ◽  
Court Case ◽  
Colonial State ◽  
Colonial Policy ◽  
Ultimate Failure ◽  
Definition Of ◽  
Determining Factor

This article examines the categorical problem that persons of ‘mixed-race’ background presented to British administrations in eastern, central and southern Africa during the late 1920s and 1930s. Tracing a discussion regarding the terms ‘native’ and ‘non-native’ from an obscure court case in Nyasaland (contemporary Malawi) in 1929, to the Colonial Office in London, to colonial governments in eastern, central and southern Africa, this article demonstrates a lack of consensus on how the term ‘native’ was to be defined, despite its ubiquitous use. This complication arrived at a particularly crucial period when indirect rule was being implemented throughout the continent. Debate centered largely around the issue of racial descent versus culture as the determining factor. The ultimate failure of British officials to arrive at a clear definition of the term ‘native’, one of the most fundamental terms in the colonial lexicon, is consequently suggestive of both the potential weaknesses of colonial state formation and the abstraction of colonial policy vis-à-vis local empirical conditions. Furthermore, this case study compels a rethinking of contemporary categories of analysis and their historical origins.

Decision Support System for Radiotherapy Patient Scheduling: Thai Cancer Center Case Study

2021 ◽  
Author(s):  
Chawis Boonmee ◽  
Nirand Pisutha-Arnond ◽  
Wichai Chattinnawat ◽  
Pooriwat Muangwong ◽  
Wannapha Nobnop ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Cancer Center ◽  
Patient Scheduling
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