Journal articles: 'Detection, test'

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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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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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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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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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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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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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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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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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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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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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Chuang, E.-ren, та David Sher. "χ2 test for feature detection". Pattern Recognition 26, № 11 (1993): 1673–81. http://dx.doi.org/10.1016/0031-3203(93)90022-o.

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Pomeranz, I., and S. M. Reddy. "On n-detection test sets and variable n-detection test sets for transition faults." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 19, no. 3 (2000): 372–83. http://dx.doi.org/10.1109/43.833205.

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Vidyarani, A., Arivudai Nambi Pitchaimuthu, P. M. Akhilesh, and Jestin Joseph Chacko. "Test Retest Reliability of Jittered Frequency Modulation Detection Test." Indian Journal of Public Health Research & Development 10, no. 11 (2019): 2493. http://dx.doi.org/10.5958/0976-5506.2019.03982.2.

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Singh, Jagatjot, and Sumit Sharma. "Fault detection technique for test cases in software engineering." International Journal of Engineering & Technology 7, no. 1 (2018): 53. http://dx.doi.org/10.14419/ijet.v7i1.7870.

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The processing of software and performing various operations on it is known as a software engineering process. The application of test cases for detecting the faults within the software is done through the testing process. There are various types of faults that occur within a software or test case which are to be identified and preventive approaches are to be applied to prevent them. In this paper, the Learn-to-rank algorithm is utilized which helps in detecting the faults from the software. The Back-Propagation technique is included with the LRA approach for enhancing its performance and improving the detection of fault rate. 10 test cases of different types are used for running various experiments and the MATLAB tool is utilized for performing various simulations. It is seen through the various simulation results that the fault detection rate is increased as well as the execution time is minimized with the help of this approach.

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Masse, J. "Detection of Microalbuminuria With the Micral-Test II Test Strip." Diabetes Care 21, no. 5 (1998): 878. http://dx.doi.org/10.2337/diacare.21.5.878a.

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Dvorak, Lukas, Kamil Fojtasek, Miroslav Krajca, and Miroslav Bova. "TEST OF DOORS OBSTRUCTION DETECTION SENSOR." MM Science Journal 2019, no. 2 (2019): 2897–901. http://dx.doi.org/10.17973/mmsj.2019_06_201881.

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Bullock, Lorinda. "Flu Virus Detection Test Gains Approval." Family Practice News 38, no. 20 (2008): 4. http://dx.doi.org/10.1016/s0300-7073(08)71266-0.

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Ke, Ling, Yukun Lin, Zhe Zeng, Lifu Zhang, and Lingkui Meng. "Adaptive Change Detection With Significance Test." IEEE Access 6 (2018): 27442–50. http://dx.doi.org/10.1109/access.2018.2807380.

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MOON, MARY ANN. "HPV Test Boosts Cervical Neoplasia Detection." Skin & Allergy News 39, no. 1 (2008): 48. http://dx.doi.org/10.1016/s0037-6337(07)71048-3.

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Splete, Heidi. "OraQuick Test Doubles HIV Detection Rates." Family Practice News 35, no. 9 (2005): 31. http://dx.doi.org/10.1016/s0300-7073(05)70655-1.

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Wiseman, Richard, and Donald West. "An Experimental Test of Psychic Detection." Police Journal: Theory, Practice and Principles 70, no. 1 (1997): 19–25. http://dx.doi.org/10.1177/0032258x9707000104.

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&NA;, &NA;. "PROSTATE ANTIGEN TEST AIDS CANCER DETECTION." AJN, American Journal of Nursing 91, no. 8 (1991): 15. http://dx.doi.org/10.1097/00000446-199108000-00008.

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Samak, Malavika, and Murali Krishna Ramanathan. "Multithreaded test synthesis for deadlock detection." ACM SIGPLAN Notices 49, no. 10 (2014): 473–89. http://dx.doi.org/10.1145/2714064.2660238.

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Sheng, Ruilong, Pengfei Wang, Yunhua Gao, et al. "Colorimetric Test Kit for Cu2+Detection." Organic Letters 10, no. 21 (2008): 5015–18. http://dx.doi.org/10.1021/ol802117p.

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&NA;. "Better detection with fecal DNA test." Nursing 35, no. 3 (2005): 35. http://dx.doi.org/10.1097/00152193-200503000-00032.

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Párraga-Niño, Noemí, Sara Quero, Naroa Uria, et al. "Antibody test for Legionella pneumophila detection." Diagnostic Microbiology and Infectious Disease 90, no. 2 (2018): 85–89. http://dx.doi.org/10.1016/j.diagmicrobio.2017.11.005.

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Das, B. K., Rajesh Lal Gurubacharya, T. M. Mohapatra, and O. P. Mishra. "Bacterial antigen detection test in meningitis." Indian Journal of Pediatrics 70, no. 10 (2003): 799–801. http://dx.doi.org/10.1007/bf02723800.

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Guazzelli, Ricardo Aquino, Matheus Garay Trindade, Leonel Acunha Guimarães, Thiago Ferreira de Paiva Leite, Laurent Fesquet, and Rodrigo Possamai Bastos. "Trojan Detection Test for Clockless Circuits." Journal of Electronic Testing 36, no. 1 (2020): 23–31. http://dx.doi.org/10.1007/s10836-020-05857-6.

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Yalçınkaya, Fulya, Nuray Bayar Muluk, Ahmet Ataş, and Robert W. Keith. "Random Gap Detection Test and Random Gap Detection Test-Expanded results in children with auditory neuropathy." International Journal of Pediatric Otorhinolaryngology 73, no. 11 (2009): 1558–63. http://dx.doi.org/10.1016/j.ijporl.2009.07.024.

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Kleinberg, Bennett, and Bruno Verschuere. "Memory Detection 2.0: The First Web-Based Memory Detection Test." PLOS ONE 10, no. 4 (2015): e0118715. http://dx.doi.org/10.1371/journal.pone.0118715.

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Fezai, Radhia, Majdi Mansouri, Kamaleldin Abodayeh, et al. "Online statistical hypothesis test for leak detection in water distribution networks." Journal of Intelligent & Fuzzy Systems 40, no. 5 (2021): 8665–81. http://dx.doi.org/10.3233/jifs-191524.

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This paper aims at improving the operation of the water distribution networks (WDN) by developing a leak monitoring framework. To do that, an online statistical hypothesis test based on leak detection is proposed. The developed technique, the so-called exponentially weighted online reduced kernel generalized likelihood ratio test (EW-ORKGLRT), is addressed so that the modeling phase is performed using the reduced kernel principal component analysis (KPCA) model, which is capable of dealing with the higher computational cost. Then the computed model is fed to EW-ORKGLRT chart for leak detection purposes. The proposed approach extends the ORKGLRT method to the one that uses exponential weights for the residuals in the moving window. It might be able to further enhance leak detection performance by detecting small and moderate leaks. The developed method’s main advantages are first dealing with the higher required computational time for detecting leaks and then updating the KPCA model according to the dynamic change of the process. The developed method’s performance is evaluated and compared to the conventional techniques using simulated WDN data. The selected performance criteria are the excellent detection rate, false alarm rate, and CPU time.

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Burdiek, B., and W. Mathis. "Test signal generation for analog circuits." Advances in Radio Science 1 (May 5, 2003): 235–38. http://dx.doi.org/10.5194/ars-1-235-2003.

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Abstract. In this paper a new test signal generation approach for general analog circuits based on the variational calculus and modern control theory methods is presented. The computed transient test signals also called test stimuli are optimal with respect to the detection of a given fault set by means of a predefined merit functional representing a fault detection criterion. The test signal generation problem of finding optimal test stimuli detecting all faults form the fault set is formulated as an optimal control problem. The solution of the optimal control problem representing the test stimuli is computed using an optimization procedure. The optimization procedure is based on the necessary conditions for optimality like the maximum principle of Pontryagin and adjoint circuit equations.

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Pasteran, Fernando, Lisandro J. Gonzalez, Ezequiel Albornoz, Guillermo Bahr, Alejandro J. Vila, and Alejandra Corso. "Triton Hodge Test: Improved Protocol for Modified Hodge Test for Enhanced Detection of NDM and Other Carbapenemase Producers." Journal of Clinical Microbiology 54, no. 3 (2015): 640–49. http://dx.doi.org/10.1128/jcm.01298-15.

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Accurate detection of carbapenemase-producing Gram-negative bacilli is of utmost importance for the control of nosocomial spread and the initiation of appropriate antimicrobial therapy. The modified Hodge test (MHT), a carbapenem inactivation assay, has shown poor sensitivity in detecting the worldwide spread of New Delhi metallo-β-lactamase (NDM). Recent studies demonstrated that NDM is a lipoprotein anchored to the outer membrane in Gram-negative bacteria, unlike all other known carbapenemases. Here we report that membrane anchoring of β-lactamases precludes detection of carbapenemase activity by the MHT. We also show that this limitation can be overcome by the addition of Triton X-100 during the test, which allows detection of NDM. We propose an improved version of the assay, called the Triton Hodge test (THT), which allows detection of membrane-bound carbapenemases with the addition of this nonionic surfactant. This test was challenged with a panel of 185 clinical isolates (145 carrying known carbapenemase-encoding genes and 40 carbapenemase nonproducers). The THT displayed test sensitivity of >90% against NDM-producing clinical isolates, while improving performance against other carbapenemases. Ertapenem provided the highest sensitivity (97 to 100%, depending on the type of carbapenemase), followed by meropenem (92.5 to 100%). Test specificity was not affected by the addition of Triton (87.5% and 92.5% with ertapenem and meropenem, respectively). This simple inexpensive test confers a large improvement to the sensitivity of the MHT for the detection of NDM and other carbapenemases.

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HARASYMIW, J. "DETECTION OF ALCOHOL MISUSE USING A ROUTINE TEST PANEL: THE EARLY DETECTION OF ALCOHOL CONSUMPTION (EDAC) TEST." Alcohol and Alcoholism 39, no. 4 (2004): 329–35. http://dx.doi.org/10.1093/alcalc/agh061.

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Tang, Li, Yunpeng Shi, Qing He, Adel W. Sadek, and Chunming Qiao. "Performance Test of Autonomous Vehicle Lidar Sensors Under Different Weather Conditions." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 1 (2020): 319–29. http://dx.doi.org/10.1177/0361198120901681.

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This paper intends to analyze the Light Detection and Ranging (Lidar) sensor performance on detecting pedestrians under different weather conditions. Lidar sensor is the key sensor in autonomous vehicles, which can provide high-resolution object information. Thus, it is important to analyze the performance of Lidar. This paper involves an autonomous bus operating several pedestrian detection tests in a parking lot at the University at Buffalo. By comparing the pedestrian detection results on rainy days with the results on sunny days, the evidence shows that the rain can cause unstable performance and even failures of Lidar sensors to detect pedestrians in time. After analyzing the test data, three logit models are built to estimate the probability of Lidar detection failure. The rainy weather still plays an important role in affecting Lidar detection performance. Moreover, the distance between a vehicle and a pedestrian, as well as the autonomous vehicle velocity, are also important. This paper can provide a way to improve the Lidar detection performance in autonomous vehicles.

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Sohn, Ki-Cheul, and Im-Hee Shin. "Outlier detection using Grubb test and Cochran test in clinical data." Journal of the Korean Data and Information Science Society 23, no. 4 (2012): 657–63. http://dx.doi.org/10.7465/jkdi.2012.23.4.657.

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Sinharay, Sandip. "Detection of Item Preknowledge Using Likelihood Ratio Test and Score Test." Journal of Educational and Behavioral Statistics 42, no. 1 (2016): 46–68. http://dx.doi.org/10.3102/1076998616673872.

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An increasing concern of producers of educational assessments is fraudulent behavior during the assessment (van der Linden, 2009). Benefiting from item preknowledge (e.g., Eckerly, 2017; McLeod, Lewis, & Thissen, 2003) is one type of fraudulent behavior. This article suggests two new test statistics for detecting individuals who may have benefited from item preknowledge; the statistics can be used for both nonadaptive and adaptive assessments that may include either or both of dichotomous and polytomous items. Each new statistic has an asymptotic standard normal n distribution. It is demonstrated in detailed simulation studies that the Type I error rates of the new statistics are close to the nominal level and the values of power of the new statistics are larger than those of an existing statistic for addressing the same problem.

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Zeng, Yan, and Yong Zeng. "Bridge Structure Detection Based on Load Test." Applied Mechanics and Materials 438-439 (October 2013): 891–93. http://dx.doi.org/10.4028/www.scientific.net/amm.438-439.891.

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By the detection of a three spans continuous beam bridge, the detection loading method and arrangement of measuring points are discussed, the static and dynamic detection results such as the deflection, stress and inherent vibration frequency are comparative analyzed with those of theoretical calculation. Results show that the bridge is safe under actual working condition, which provides the basis for normal operation and maintenance of the bridge.

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Liu, Wenyi, and Zhaohua Li. "Development of NCOVID-19 Colloidal Gold Immunochromatographic Test Strip." Advanced Emergency Medicine 10, no. 1 (2021): 1. http://dx.doi.org/10.18686/aem.v10i1.182.

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<div><p>Purpose: To establish a fast, simple and accurate method and immunoassay test card for the detection of new coronavirus (nCOVID-19) antigen. Methods: In this study, colloidal gold immunochromatography technology was used to detect nCOVID-19 virus antigens through the sandwich method. At the same time, the preparation plan of colloidal gold was improved, and the application of rapid immune-diagnosis technology in other fields was developed. In this study, purified recombinant nCOVID-19 nucleocapsid protein is used as the antigen to prepare murine monoclonal antibodies. The BN02 antibody produced by the mouse is used as the detection antibody to couple with colloidal gold, forming a gold-labeled complex probe. BN9m1 is used as the coating antibody for the C-line, and ProA is used for the T-line. The polymerization of colloidal gold particles enables us to detect the new coronavirus antigen’s appearance. Thus an in vitro rapid detection kit for virus detection can be made. Results: The positive detection rate of the antigen quality control serum with this colloidal gold reagent was 100%. The specificity was 100%, and the sensitivity was 1ng/ml. Conclusion: The nCOVID-19 antigen detection reagent (colloidal gold method) developed in this research has high specificity and sensitivity, and can be used in conjunction with nucleic acid detection. As a means of detecting nCOVID-19, it can achieve qualitative and rapid screening of samples with advantage such as accuracy, repeatability, and low cost.</p></div>

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Davison, Craig, Dan Fuleki, Jennifer Lynne Young Chalmers, and Brian Galeote. "NRC particle detection probe: test cell to flight." Aircraft Engineering and Aerospace Technology 92, no. 1 (2020): 8–14. http://dx.doi.org/10.1108/aeat-11-2018-0286.

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Purpose High-altitude ice crystals (HAICs) are causing one in-flight event or more per month for commercial aircraft. The effects include preventing air data probes (pitot pressure and total air temperature in particular) from functioning correctly and causing engines to roll back and shut down. The purpose of this study is to describe the process used by the National Research Council Canada (NRC) to develop and test a particle detection probe (PDP). The probe mounts on the fuselage of aircraft to sense and quantify the ice crystals in the environment. Design/methodology/approach The probe was demonstrated on the NRC Convair and Airbus A340 research aircraft as part of the European Union HAIC programme. The probe was ruggedised, adapted for easy installation in standard aircraft fittings and tested in a variety of conditions for longevity and endurance. Findings Efforts to achieve the safety requirements for flight on aircraft are discussed. The challenges, surprises and opportunities for testing on which the development group is capitalised are also presented. Practical implications It was demonstrated that the detectors gave signals proportional to the ice crystal content of clouds, and results demonstrating the functionality of the probe are presented. Originality/value This paper describes the multi-year process of developing the NRC PDP from a test cell sensor for detecting engine exhaust contaminants on an aircraft ice crystal detection probe. The work included over 20 flight tests on NRC aircraft and the Airbus HAIC test programme.

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E. K., Kiseleva. "DIAGNOSTIC CHARACTERISTICS OF THE ELISA TEST FOR THE HEPATITIS B VIRUS SURFACE ANTIGEN DETECTION." Biotechnologia Acta 12, no. 1 (2019): 58–65. http://dx.doi.org/10.15407/biotech12.01.058.

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Doull, Katie E., Carl Chalmers, Paul Fergus, Steve Longmore, Alex K. Piel, and Serge A. Wich. "An Evaluation of the Factors Affecting ‘Poacher’ Detection with Drones and the Efficacy of Machine-Learning for Detection." Sensors 21, no. 12 (2021): 4074. http://dx.doi.org/10.3390/s21124074.

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Drones are being increasingly used in conservation to tackle the illegal poaching of animals. An important aspect of using drones for this purpose is establishing the technological and the environmental factors that increase the chances of success when detecting poachers. Recent studies focused on investigating these factors, and this research builds upon this as well as exploring the efficacy of machine-learning for automated detection. In an experimental setting with voluntary test subjects, various factors were tested for their effect on detection probability: camera type (visible spectrum, RGB, and thermal infrared, TIR), time of day, camera angle, canopy density, and walking/stationary test subjects. The drone footage was analysed both manually by volunteers and through automated detection software. A generalised linear model with a logit link function was used to statistically analyse the data for both types of analysis. The findings concluded that using a TIR camera improved detection probability, particularly at dawn and with a 90° camera angle. An oblique angle was more effective during RGB flights, and walking/stationary test subjects did not influence detection with both cameras. Probability of detection decreased with increasing vegetation cover. Machine-learning software had a successful detection probability of 0.558, however, it produced nearly five times more false positives than manual analysis. Manual analysis, however, produced 2.5 times more false negatives than automated detection. Despite manual analysis producing more true positive detections than automated detection in this study, the automated software gives promising, successful results, and the advantages of automated methods over manual analysis make it a promising tool with the potential to be successfully incorporated into anti-poaching strategies.

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Bai, Hua Juan, Ji Hong Feng, Kai Xiang Li, and Hao He. "Urinary Sediment Detection Device Design and Test." Applied Mechanics and Materials 462-463 (November 2013): 17–20. http://dx.doi.org/10.4028/www.scientific.net/amm.462-463.17.

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In this paper we build up a set of simple urinary sediment detection device which is composed of a biological microscope, focusing mechanism, and CCD camera. We apply this device in urinary sediment detection to verify its feasibility. In our experiment, the urinary sediment quality control diluted 200 times is dropped into quantitative analysis plate to detect on the device. We watch and count the number of red and white blood cells in 30 counting pools. Microscopic images are clear and the number of red and white blood cells in these images fluctuates around the average value. Experimental results show that our device is feasible in urinary sediment detection.

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Vucetic, Zivjena, Naima Loayza, Susanne Kartin Pedersen, Missy Tuck, and Lawrence Charles LaPointe. "Clinical performance of methylation-based liquid biopsy test COLVERA after optimization of test interpretation rules." Journal of Clinical Oncology 39, no. 15_suppl (2021): 3546. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.3546.

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3546 Background: Clinical guidelines recommend surveillance for patients who complete primary treatment for colorectal cancer (CRC) with the aim of detecting recurrence when amenable to curative intent treatment. Currently recommended surveillance protocols, including imaging and CEA have limitations both in sensitivity and specificity, thus novel methods that detect circulating tumor DNA (ctDNA) have been introduced into clinical practice. COLVERA is a laboratory-developed, real-time PCR test that detects DNA methylation of BCAT1 and IKZF1 genes. These two genes are hypermethylated in 95% of CRC tissue and COLVERA showed improved sensitivity for detection of recurrent disease in comparison to CEA in several clinical populations. The current study evaluated the impact of optimizing the assay’s qualitative reporting method on actionability and clinical performance for recurrence detection in CRC surveillance setting. Methods: Two previously described cohorts of CRC patients (N=322 and N=144) who completed primary treatment and were undergoing surveillance were evaluated. Imaging and blood collections were performed at, or adjacent to, a standard of care visit. cfDNA was extracted from whole blood, bisulphite-treated and assayed in triplicates for BCAT1/IKZF methylation. Previously, any positive replicate of either target gene was reported as COLVERA “detected”. In the current study, COLVERA is “detected” when at least one replicate of IKZF1 or multiple replicates of either IKZF1 and/or BCAT1 are present. Sensitivity, specificity, and diagnostic odds ratio (DOR) for CRC recurrence detection from a single time-point blood sample was determined using radiological imaging as clinical reference standard. Results: In the first cohort (N=322), overall COLVERA test positivity was 6.5% (21/322) with a sensitivity of 59.3% (95% CI: 38.8 - 77.6) and specificity of 98.3% (96.1 - 99.5) for detecting recurrence at a time-point adjacent to imaging, representing improved specificity, from 91.5% (87.7 - 94.4%), with minimal decrease in sensitivity, from 63.0% (42.4 – 80.6). Similarly, in the second cohort (N=144) sensitivity was 62% (47.2 -75.4), compared to 66.0% (57.1 – 69.3) under the prior interpretation method, while specificity was 92.6% (85.3-97), compared to 90.4% (84.7 - 94.7). A high DOR of 84 (26 - 272) (previously 18 (7.6 – 44.4)) indicates that the revised COLVERA interpretation method is clinically more informative and differentiates with greater accuracy patients with and without the disease. Conclusions: This change in the COLVERA interpretation rule resulted in optimized clinical specificity with minimal impact on sensitivity. For an assay intended to aid in surveillance and early recurrence detection, improved accuracy allows the physician to have increased confidence in making actionable decisions based on test result, including further imaging or treatment.

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45

Lim, Tae W. "Structural damage detection using modal test data." AIAA Journal 29, no. 12 (1991): 2271–74. http://dx.doi.org/10.2514/3.10873.

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Bahler, Stephen J., James M. Kranig, and Erik D. Minge. "Field Test of Nonintrusive Traffic Detection Technologies." Transportation Research Record: Journal of the Transportation Research Board 1643, no. 1 (1998): 161–70. http://dx.doi.org/10.3141/1643-20.

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The results of a 2-year field test of nonintrusive traffic detection technologies are presented. Seventeen devices representing the following eight technologies were evaluated: passive infrared, active infrared, magnetic, radar, doppler microwave, pulse ultrasonic, passive acoustic, and video. The devices were tested in a variety of environmental and traffic conditions at both intersection and freeway test sites. Emphasis was placed on urban traffic conditions, such as heavy congestion; locations that typify temporary counting situations, such as 48-hour or peak hour counts; and performance in the wide variety of weather conditions found in Minnesota. The evaluation also focused on the ease of system set-up and general system reliability. The results show that nonintrusive technologies are capable of performing as well as conventional methods in some, but not all, situations. At the freeway test site, most nonintrusive devices counted within 3 percent of baseline data. At the intersection test site, however, congested stop-and-go traffic hindered the performance of the majority of the devices. Weather and other environmental variables were found to have minimal impact on the majority of devices. This test is the first phase of an ongoing project to evaluate new, nonintrusive technologies and devices. Further research will expand into areas such as real-time datacollection to support intelligent transportation system applications.

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Wolf, Tiffany M., Lawrence Mugisha, Fernanda Miyagaki Shoyama, et al. "Noninvasive Test for Tuberculosis Detection among Primates." Emerging Infectious Diseases 21, no. 3 (2015): 468–70. http://dx.doi.org/10.3201/eid2103.140052.

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Anasane, Pradnya, and Alka Chaturvedi. "FIELD TEST FOR THE DETECTION OF PHYTOSTEROLS." International Research Journal of Pharmacy 5, no. 9 (2014): 734–36. http://dx.doi.org/10.7897/2230-8407.0509150.

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Shamsuddin, Abulkalam M., and Alaaeldeen M. Elsayed. "A test for detection of colorectal cancer." Human Pathology 19, no. 1 (1988): 7–10. http://dx.doi.org/10.1016/s0046-8177(88)80308-3.

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Binks, P. "Malingering detection with the dot counting test." Archives of Clinical Neuropsychology 12, no. 1 (1997): 41–46. http://dx.doi.org/10.1016/s0887-6177(96)00019-4.

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Journal articles on the topic 'Detection, test'

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