Academic literature on the topic 'Detection, test'

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Journal articles on the topic "Detection, test"

1

Zhang, Ronglan. "Anti-Corrosion Test on Basal Slope Protection Materials." Detection 04, no. 01 (2016): 9–15. http://dx.doi.org/10.4236/detection.2016.41002.

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2

Balan K, Balan K. "Modified Hodge Test and Remodified Hodge Test for Carbapenemase Detection: Better Indicator." Indian Journal of Applied Research 3, no. 3 (2011): 279–80. http://dx.doi.org/10.15373/2249555x/mar2013/91.

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3

Brandão, Marcelo Luiz Lima, Carla de Oliveira Rosas, Silvia Maria Lopes Bricio, et al. "Preparation of Reference Material for Proficiency Test for Enumeration of Coliforms in Cheese Matrix." Detection 01, no. 01 (2013): 7–12. http://dx.doi.org/10.4236/detection.2013.11002.

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4

Saleh, Fatima A., and Aleen Sleem. "COVID-19: Test, Test and Test." Medical Sciences 9, no. 1 (2020): 1. http://dx.doi.org/10.3390/medsci9010001.

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A new virus was identified in late December 2019 when China reported the first cases of pneumonia in Wuhan, and a global COVID-19 pandemic followed. The world was not late to respond, with a number of sweeping measures ranging from social distancing protocols, stringent hygienic practices, and nation-wide lockdowns, as well as COVID-19 testing campaigns in an attempt to prevent the transmission of the disease and contain the pandemic. Currently, different types of diagnostic testing have been adopted globally, such as nucleic acid detection tests, immunological tests and imaging approaches; however, real-time reverse transcriptase–polymerase chain reaction (RT-PCR) remains the “gold standard” for detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Pre-analytical factors, such as specimen selection and collection, are crucial for RT-PCR, and any suboptimal collection may contribute to false-negative results. Herein, we address some of the specimen types that have been used in molecular detection methods for COVID-19. However, the pandemic is still evolving, and information might change as more studies are conducted.
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5

Boyen, Kris, Deniz Başkent, and Pim van Dijk. "The Gap Detection Test." Ear and Hearing 36, no. 4 (2015): e138-e145. http://dx.doi.org/10.1097/aud.0000000000000156.

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6

Pomeranz, Irith, and Sudhakar M. Reddy. "Forming N-detection test sets without test generation." ACM Transactions on Design Automation of Electronic Systems 12, no. 2 (2007): 18. http://dx.doi.org/10.1145/1230800.1230810.

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7

Zahra, Basati, Rasekh Mansour, and Abbaspour-Gilandeh Yousef. "Mechanical test suitable for detection of bug-damage wheat grains abstract." Research in Agricultural Engineering 64, No. 2 (2018): 77–84. http://dx.doi.org/10.17221/45/2017-rae.

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Considering the fact that the presence of bug-damaged wheat in the bulk results in a decrease of the flour quality and its final product, which is bread, it is necessary to differentiate the bug-damaged wheat grains from the healthy ones. Therefore, the present study investigated the mechanical properties of bug-damaged and healthy wheat grains of the Azar cultivar. By making use of these mechanical properties, it would be possible to provide a more precise texture identification of the bug-damaged wheat grains compared to the healthy ones. In this study, the mechanical properties (rupture energy, toughness and apparent elastic coefficient) were determined under compressive loading, with four levels of loading velocity (5, 15, 25 and 35 mm.min<sup>–1</sup>) and four levels of moisture content (9, 11.5, 14 and 16.5% wet basis) in both bug-damaged and healthy wheat grains. Due to the significant difference in the mean value of apparent elastic coefficient between the bug-damaged grains (74.779 MPa) and the healthy ones (289.071 MPa), this parameter can be employed as the most appropriate factor to distinguish the bug-damaged wheat grains from the healthy ones.
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8

Kim, Seung-Ho, Jun-Sic Park, Woong-Kyo Jeong, and Seong-Kee Shin. "The Kim Test." American Journal of Sports Medicine 33, no. 8 (2005): 1188–92. http://dx.doi.org/10.1177/0363546504272687.

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Background Detection of a posteroinferior labral lesion by physical examination is often difficult. Purpose To introduce a novel diagnostic test for detecting a posteroinferior labral lesion of the shoulder. Hypothesis The Kim test can detect a posteroinferior labral lesion of the shoulder. Study Design Cohort study (diagnosis); Level of evidence, 1. Methods In 172 painful shoulders, the Kim test was compared with the jerk test and was verified by arthroscopic examination. A sudden onset of posterior shoulder pain and click with or without clunk indicated a positive test result. Results Thirty-three shoulders had a positive Kim test result, in which 24 had a posteroinferior labral lesion and 9 had a normal posteroinferior labrum. Of 139 shoulders with a negative Kim test result, 6 had a posteroinferior labral tear and 133 had a normal posteroinferior labrum. The sensitivity of the Kim test was 80%, specificity was 94%, positive predictive value was 0.73, and negative predictive value was 0.96. The interexaminer reliability between 2 examiners was 0.91. The accuracy of the jerk test in detecting a posteroinferior labral lesion was the following: sensitivity, 73%; specificity, 98%; positive predictive value, 0.88; and negative predictive value, 0.95. The location of the posterior labral lesion was predominantly posterior in 19 shoulders and predominantly inferior in 11 shoulders. The Kim test was more sensitive in detecting a predominantly inferior labral lesion, whereas the jerk test was more sensitive in detecting a predominantly posterior labral lesion. The sensitivity in detecting a posteroinferior labral lesion increased to 97% when the 2 tests were combined. Conclusion The Kim test is a reliable diagnostic test for detection of a posteroinferior labral lesion.
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9

Koochakzadeh, Negar, and Vahid Garousi. "A Tester-Assisted Methodology for Test Redundancy Detection." Advances in Software Engineering 2010 (January 17, 2010): 1–13. http://dx.doi.org/10.1155/2010/932686.

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Test redundancy detection reduces test maintenance costs and also ensures the integrity of test suites. One of the most widely used approaches for this purpose is based on coverage information. In a recent work, we have shown that although this information can be useful in detecting redundant tests, it may suffer from large number of false-positive errors, that is, a test case being identified as redundant while it is really not. In this paper, we propose a semiautomated methodology to derive a reduced test suite from a given test suite, while keeping the fault detection effectiveness unchanged. To evaluate the methodology, we apply the mutation analysis technique to measure the fault detection effectiveness of the reduced test suite of a real Java project. The results confirm that the proposed manual interactive inspection process leads to a reduced test suite with the same fault detection ability as the original test suite.
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10

Webb, Katana, Vicki Ritter, and Thomas Hammack. "CHROMagar Salmonella Detection Test Kit." Journal of AOAC INTERNATIONAL 92, no. 6 (2009): 1906–9. http://dx.doi.org/10.1093/jaoac/92.6.1906.

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Abstract BBL CHROMagar Salmonella was evaluated by an external food testing laboratory for the recovery of Salmonella in peanut butter using the U.S. Food and Drug Administration's Bacteriological Analytical Manual (FDA-BAM) procedure. The peanut butter was found to be negative for the presence of Salmonella and, therefore, was seeded with heat-stressed Salmonella at target concentrations of 0.2 and 2 CFU/25 g. The Salmonella-seeded samples remained at room temperature for 14 days before analysis to stabilize the Salmonella in the food environment. Twenty 25 g test portions from each seeded level and five 25 g samples of uninoculated control samples were processed using enrichment broths as outlined in the FDA-BAM procedure. BBL CHROMagar Salmonella-prepared plates were evaluated with the FDA reference method media (bismuth sulfite, xylose lysine desoxycholate, and Hektoen enteric agars). Fractionally positive results were obtained from the lower inoculum level of peanut butter samples. Five positive cultures were recovered from both the BBL CHROMagar Salmonella and reference methods. The two methods gave identical results for all cultures resulting in a method agreement of 100%. McNemar's 2 test, which assesses the evidence for difference in marginal proportions between two methods, could not be evaluated because it requires one or more discrepant cultures. However, because there were no discrepant cultures, the marginal proportions for the two methods were identical; therefore, there is no evidence of a difference between the methods. This study demonstrates that the results from BBL CHROMagar Salmonella are comparable to the three reference method media for the detection of Salmonella in peanut butter using the FDA-BAM procedures.
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