scholarly journals Optimum Detection of Defective Elements in Non-Adaptive Group Testing

2021 ◽  
Author(s):  
Gianluigi Liva ◽  
Enrico Paolini ◽  
Marco Chiani
Keyword(s):  
Group Testing ◽  
Optimum Detection

The implications of minority group testing for more effective learning

1971 ◽  
Author(s):  
Florence L. Denmark ◽  
Ethel Jackson Shirk ◽  
Leonard E. Bart ◽  
Bernice Baxter ◽  
Alfredo Casteneda ◽  
...  
Keyword(s):  
Minority Group ◽  
Group Testing ◽  
Effective Learning

DESIGNING INTERACTIVE DIGITAL LEARNING MODULE IN BIOLOGY

TABULARASA ◽  
2015 ◽  
Vol 12 (2) ◽  
Author(s):  
Wenny Pintalitna ◽  
Herbet Sipahutar ◽  
Fauziyah Harahap
Keyword(s):  
Small Group ◽  
Group Testing ◽  
Quality Data ◽  
Digital Learning ◽  
Text Learning ◽  
Interactive Learning Environment ◽  
Learning Modules ◽  
Large Group ◽  
Learning Module ◽  
Medium Group

Interactive learning environment can substantially improve student learning and retention of key biology concepts. In this case report, we describe our approach for the design of interactive digital learning module to teach digestive system concepts in Grade 11 learners at SMAN 2 Balige with 180 subjects are selected according to total sampling method. The research method is the development with Dick and Carey model.  Subject of learning module assessment consists of two Biology matter experts, two learning module experts, one electronic media expert, three students for individual trials, ten students and teachers as small group testing, thirty students of SMAN 1 Berastagi for medium group testing, and 60 students of SMAN 2 Balige as large group testing. Quality data of product developed were collected using questionnaires. The results of developmental research showed that: (1) Module assessment by matter, learning modules and media experts were very decent criteria (88.30%, 93.98%, 88.25%); 2) Large group testing of interactive, electronic and text learning modules, respectively were 92.53%, 86.064%, 81.355% belong to very decent criteria; (3) Medium group testing respectively were 84.59%, 80.18%, 76.56% belong to decent criteria; (6) Small group testing respectively were 75.71%, 73.20%, 71.19% belong to decent criteria.

Robust Locally Optimum Detection.

1996 ◽  
Author(s):  
Donald R. Ucci ◽  
William E. Jacklin ◽  
Myron R. Mychal
Keyword(s):  
Optimum Detection

Alcohol Determination by HPLC with Postcolumn Derivatization Based on the Thiosulfate-catalyzed Reaction of Alcohols and Cerium(IV) and Fluorescence Detection of Cerium(III)

2020 ◽  
Vol 16 ◽  
Author(s):  
Ikko Mikami ◽  
Eri Shibayama ◽  
Kengo Takagi
Keyword(s):  
Detection Limit ◽  
Fluorescence Detection ◽  
Reaction Rate ◽  
Detection Method ◽  
Fluorescence Detector ◽  
Reaction Solution ◽  
Optimum Detection ◽  
Postcolumn Derivatization ◽  
Sensitive Method

Background: Determination of a reducing substance based on the reaction between Ce(IV) and a reducing substance and fluorescence detection of Ce(III) generated has been reported as a selective and sensitive method. However, this method could not be applied to the determination of alcohol due to the low reaction rate of alcohol and Ce(IV). Objective: We found that thiosulfate catalytically enhanced reaction of alcohols (such as, methanol, ethanol, and propanol) and Ce(IV). Utilizing this effect, we developed a new method for the determination of alcohols. Results: In the presence of thiosulfate, an increase in fluorescence intensity was detected by injecting alcohol at concentrations of several millimolar, whereas it was not observed even at the concentration of 10% v/v (2 M for ethanol) in the absence of thiosulfate. The optimum detection conditions were determined to be 4.0 mM Ce(IV) sulfate and 0.50 mM thiosulfate, and the detection limit (S/N = 3) of ethanol under these conditions was 1 mM. In the calibration curves, changes in the slope were observed when the alcohol concentrations were approximately 10–25 mM. Using a thiosulfate solution containing ethanol as the reaction solution, a calibration curve without any change in slope was obtained, although the concentration of ethanol at the detection limit increased. The alcohols in the liquor and fuel were successfully analyzed using the proposed detection method as a postcolumn reaction. Conclusion: This new alcohol detection method using a versatile fluorescence detector can be applied to the postcolumn reaction of HPLC omitting need of time-consuming pretreatment processes.

scholarly journals Assessing the Impact of Attendance Modality on the Learning Performance of a Course on Machines and Mechanisms Theory

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 558
Author(s):  
David Valiente ◽  
Héctor Campello-Vicente ◽  
Emilio Velasco-Sánchez ◽  
Fernando Rodríguez-Mas ◽  
Nuria Campillo-Davo
Keyword(s):  
Statistical Tests ◽  
Group Testing ◽  
Test Group ◽  
Historical Record ◽  
Team Work ◽  
University Education ◽  
Learning Performance ◽  
Control Group ◽  
Face To Face ◽  
The Impact

University education approaches related to the field of science, technology, engineering and mathematics (STEM), have generally particularized on teaching activity and learning programs which are commonly understood as reoriented lessons that fuse theoretic concepts interweaved with practical activities. In this context, team work has been widely acknowledged as a means to conduct practical and hands-on lessons, and has been revealed to be successful in the achievement of exercise resolution and design tasks. Besides this, methodologies sustained by ICT resources such as online or blended approaches, have also reported numerous benefits for students’ active learning. However, such benefits have to be fully validated within the particular teaching context, which may facilitate student achievement to a greater or lesser extent. In this work, we analyze the impact of attendance modalities on the learning performance of a STEM-related course on “Machines and Mechanisms Theory”, in which practical lessons are tackled through a team work approach. The validity of the results is reinforced by group testing and statistical tests with a sample of 128 participants. Students were arranged in a test group (online attendance) and in a control group (face-to-face attendance) to proceed with team work during the practical lessons. Thus, the efficacy of distance and in situ methodologies is compared. Moreover, additional variables have also been compared according to the historical record of the course, in regards to previous academic years. Finally, students’ insights about the collaborative side of this program, self-knowledge and satisfaction with the proposal have also been reported by a custom questionnaire. The results demonstrate greater performance and satisfaction amongst participants in the face-to-face modality. Such a modality is prooven to be statistically significant for the final achievement of students in detriment to online attendance.

scholarly journals Pooled testing with replication as a mass testing strategy for the COVID-19 pandemics

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Julius Žilinskas ◽  
Algirdas Lančinskas ◽  
Mario R. Guarracino
Keyword(s):  
Real Time ◽  
Real Time Pcr ◽  
Group Testing ◽  
Testing Strategy ◽  
Testing Technique ◽  
Testing Procedures ◽  
Pooled Testing ◽  
Replication Scheme ◽  
Speed Up ◽  
Multiple Patients

AbstractDuring the COVID-19 pandemic it is essential to test as many people as possible, in order to detect early outbreaks of the infection. Present testing solutions are based on the extraction of RNA from patients using oropharyngeal and nasopharyngeal swabs, and then testing with real-time PCR for the presence of specific RNA filaments identifying the virus. This approach is limited by the availability of reactants, trained technicians and laboratories. One of the ways to speed up the testing procedures is a group testing, where the swabs of multiple patients are grouped together and tested. In this paper we propose to use the group testing technique in conjunction with an advanced replication scheme in which each patient is allocated in two or more groups to reduce the total numbers of tests and to allow testing of even larger numbers of people. Under mild assumptions, a 13 ×  average reduction of tests can be achieved compared to individual testing without delay in time.

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