Effective Test Strategy model for ensuring FTR of hot-fix

2014 ◽  
Author(s):  
Anil Agarwal ◽  
N K Garg
Keyword(s):  
Test Strategy ◽  
Strategy Model

Human operator control strategy model

1980 ◽  
Author(s):  
Harold F. Engler ◽  
Esther L. Davenport ◽  
Joanne Green ◽  
William E. Sears
Keyword(s):  
Control Strategy ◽  
Human Operator ◽  
Strategy Model ◽  
Operator Control

Penerapan Pendekatan Kontruktivisme dalam Pembelajaran Bahasa Indonesia di SMP Negeri I Remboken

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Femmy Tresje Pelealu
Keyword(s):  
Critical Thinking ◽  
Learning Process ◽  
Teaching Methods ◽  
Language Teaching ◽  
Language Teachers ◽  
Development Model ◽  
Strategy Model ◽  
Bahasa Indonesia

This study is conducted in order to describe the development model ofconstructivistic teaching in Indonesian language for the sake of maximizing thestudents’ attitude in critical thinking. Operationally this study is done inorder to describe the concept and strategy model and the materials of constructivisticIndonesian language teaching developed by the teachers in SMP Negeri 1 Rembokenfor the sake of maximizing the students’ attitude in critical thinking. TheIndonesian language teachers’ concept on the planning and the conduction ofconstructivistic teaching related to what Indonesian language teaching is, howthe textbook and the materials are used, the purpose of Indonesian languageteaching is, the role of the teacher, the role of the students in the teachingand learning process, the use of teaching methods and media, and the procedureof the conduction of constructivistic Indonesian language teaching and learningprocess in the classroom, was not done by the teachers when they were observed.Their constructivistic teaching attitude is very minimal.

scholarly journals Limits and Opportunities of SARS-CoV-2 Antigen Rapid Tests: An Experienced-Based Perspective

Pathogens ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 38
Author(s):  
Verena Schildgen ◽  
Sabrina Demuth ◽  
Jessica Lüsebrink ◽  
Oliver Schildgen
Keyword(s):  
Clinical Setting ◽  
Gold Standard ◽  
Antigen Test ◽  
Public Attention ◽  
High Expectations ◽  
Test Strategy ◽  
Rapid Tests ◽  
Pilot Sample ◽  
Lateral Flow Tests ◽  
Throat Washing

Background: Due to the steadily rising case numbers of SARS-CoV-2 infections worldwide, there is an increasing need for reliable rapid diagnostic devices in addition to existing gold standard PCR methods. Actually, public attention is focused on antigen assays including lateral flow tests (LFTs) as a diagnostic alternative. Therefore, different LFTs were analyzed regarding their performance in a clinical setting. Material and Methods: A pilot sample panel of 13 bronchoalveolar fluids (BALFs) and 60 throat washing (TW) samples with confirmed PCR results, as well as eight throat washes invalid by PCR, were tested with the BIOCREDIT test (RapiGEN), the PanbioTM assay (Abbott), and the SARS-CoV-2 rapid antigen test (Roche). Conclusion: The analyzed antigen test showed an interassay correlation of 27.4%, with overall specificities ranging from 19.4% to 87.1%, while sensitivities of the respective tests ranged between 33.3% and 88.1%. Because these assays did not entirely meet all high expectations, their benefit has to be carefully evaluated for the respective test strategy and setting.

scholarly journals A game strategy model in the digital curling system based on NFSP

2021 ◽  
Author(s):  
Yuntao Han ◽  
Qibin Zhou ◽  
Fuqing Duan
Keyword(s):  
Reinforcement Learning ◽  
Nash Equilibrium ◽  
Action Space ◽  
Learning Networks ◽  
Game Tree ◽  
Continuous Action ◽  
Extensive Game ◽  
Strategy Model ◽  
Zero Sum ◽  
Tree Searching

AbstractThe digital curling game is a two-player zero-sum extensive game in a continuous action space. There are some challenging problems that are still not solved well, such as the uncertainty of strategy, the large game tree searching, and the use of large amounts of supervised data, etc. In this work, we combine NFSP and KR-UCT for digital curling games, where NFSP uses two adversary learning networks and can automatically produce supervised data, and KR-UCT can be used for large game tree searching in continuous action space. We propose two reward mechanisms to make reinforcement learning converge quickly. Experimental results validate the proposed method, and show the strategy model can reach the Nash equilibrium.

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