Relevant bibliographies by topics / Testing the factors

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Testing the factors'

Author: Grafiati
Published: 23 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Testing the factors"

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Bertovic, M., M. Gaal, C. Müller, and B. Fahlbruch. "Investigating human factors in manual ultrasonic testing: testing the human factors model." Insight - Non-Destructive Testing and Condition Monitoring 53, no. 12 (December 1, 2011): 673–76. http://dx.doi.org/10.1784/insi.2011.53.12.673.

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Maurissen, Jacques P. J., Brian R. Marable, Amanda K. Andrus, and Kenneth E. Stebbins. "Factors affecting grip strength testing." Neurotoxicology and Teratology 25, no. 5 (September 2003): 543–53. http://dx.doi.org/10.1016/s0892-0362(03)00073-4.

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Salkovskis, Paul M., and Katharine A. Rimes. "Predictive genetic testing: Psychological factors." Journal of Psychosomatic Research 43, no. 5 (November 1997): 477–87. http://dx.doi.org/10.1016/s0022-3999(97)00170-0.

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Kacew, Sam. "Confounding factors in toxicity testing." Toxicology 160, no. 1-3 (March 2001): 87–96. http://dx.doi.org/10.1016/s0300-483x(00)00440-6.

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Auckland, D. W., J. M. Cooper, and B. R. Varlow. "Factors affecting electrical tree testing." IEE Proceedings A Science, Measurement and Technology 139, no. 1 (1992): 9. http://dx.doi.org/10.1049/ip-a-3.1992.0002.

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Bailer, A. John, Sean E. Walker, and Kyle J. Venis. "Estimating and testing bioconcentration factors." Environmental Toxicology and Chemistry 19, no. 9 (September 2000): 2338–40. http://dx.doi.org/10.1002/etc.5620190925.

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Collins, Megan, Jessica Whitaker, Tina Simpson, and Latesha Elopre. "Factors Influencing Genital Herpes Testing." Journal of Adolescent Health 58, no. 2 (February 2016): S108. http://dx.doi.org/10.1016/j.jadohealth.2015.10.227.

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Schönbrodt, Felix D., Eric-Jan Wagenmakers, Michael Zehetleitner, and Marco Perugini. "Sequential hypothesis testing with Bayes factors: Efficiently testing mean differences." Psychological Methods 22, no. 2 (June 2017): 322–39. http://dx.doi.org/10.1037/met0000061.

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Menendez, Mariano E., Arjan G. J. Bot, Michiel G. J. S. Hageman, Valentin Neuhaus, Chaitanya S. Mudgal, and David Ring. "Computerized Adaptive Testing of Psychological Factors." Journal of Bone & Joint Surgery 95, no. 20 (October 2013): e149. http://dx.doi.org/10.2106/jbjs.l.01614.

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Fosten, Jack, and Daniel Gutknecht. "Testing Nowcast Monotonicity with Estimated Factors." Journal of Business & Economic Statistics 38, no. 1 (June 18, 2018): 107–23. http://dx.doi.org/10.1080/07350015.2018.1458623.

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Dissertations / Theses on the topic "Testing the factors"

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Troost, Jan J. "Factors influencing laboratory vibratory compaction." Master's thesis, University of Cape Town, 1987. http://hdl.handle.net/11427/17651.

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The thesis consists of a literature review and a limited experimental investigation in a soils laboratory. The objective of the literature review is to determine what standard laboratory test methods based on vibration exist for the control of compaction, to what soil types these tests are applicable and what the factors are which affect laboratory vibratory compaction. The study revealed that extensive research has been carried out in the USA and Europe, where standard laboratory compaction tests exist for the determination of the maximum dry density of cohesionless, free-draining soil. The US methods are based on the use of a vibratory table, while the European practice is based on the use of a vibratory tamper. No standard tests appear to exist for soil exhibiting cohesion, though limited research has been carried out in the USA into the behaviour of such soils under laboratory vibratory compaction. The factors; frequency, amplitude, mould size and shape surcharge intensity and manner of application, soil type, time of vibration, number of layers and moisture content are all reported to have an effect on the maximum dry density achievable. It has been recognised that significant interaction occurs between the factors affecting vibratory compaction, but the extent of the interaction appears to be only partly understood. The objective of the limited experimental program was to determine whether a specific graded crushed stone could be compacted to Modified AASHTO maximum dry density with a laboratory vibratory compaction technique using a vibratory table, and how this could best be achieved. The effects on dry density of changing the frequency, the time of vibration, mould size, surcharge pressure, grading and moisture content were investigated. It is concluded that the graded crushed stone in question can be compacted to Mod. AASHTO maximum dry density but that before reliable reproducible results can be achieved with this type of test further work is necessary. Such research should be aimed at investigating the interaction effect between the amplitude of vibration, the soil type and the type and intensity of the applied surcharge pressure.
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Clerke, Anita. "FACTORS INFLUENCING GRIP STRENGTH TESTING IN TEENAGERS." University of Sydney, 2006. http://hdl.handle.net/2123/3553.

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Doctor of Philosophy
The aims of the Thesis were: to investigate and quantify the factors influencing the production of maximum isometric grip strength force in a sample of Australian teenagers when using JamarTM-like handgrip dynamometers; to determine the reliability of this measure over long and short retest intervals; to establish a database of anthropometric and strength values for this group and prediction equations for premorbid strengths to aid assessment of recovery in those with upper limb pathologies. The history of these handgrip dynamometers demonstrates that they have been employed in one form or another for over three hundred years and are still widely used today in hand rehabilitation and medical examinations. Many new types of dynamometers have been constructed subsequent to the ubiquitous JamarTM and have all been briefly reviewed here. Handedness (dominance) was thought to be a possible factor influencing grip strength performance and was later evaluated. But first, the Edinburgh Handedness Inventory was tested with 658 teenagers and 64 adults and confirmed to be a valid tool for assessing handedness. Its validity was improved by substituting the tasks of sweeping and opening the lid of a box for hammering and use of a screwdriver. Its excellent reliability (ICC = .78, p < 0.01) was confirmed with 45 teenagers and 45 adults. There were 235 teenagers who performed maximal isometric grip strength tests and from the results a local database was created. It was confirmed that the grip strength difference in males and females becomes significant after the age of 13 years, and that the average teenaged male is stronger than the average teenaged female by 11.2 Kg force (p < .01). Height, weight, BMI, hand dimensions, past upper limb injuries, degrees of handedness and exercise levels were measured and compared with known norms to establish that the grip strength tested sample of teenagers was representative of urban teenagers in Australia. The influence of handedness on maximal grip strength in dominant and non-dominant hands was unable to be completely ascertained due to the vast majority of the sample of teenagers being right-handed. Only 13 of the 235 teenagers used their left hand for most tasks, with another 20 using their left hands for a small majority of tasks. There was a grip strength bias towards the dominant hand of 2.63 kg force (p < .01). The most accurate way to predict the grip strength of one hand is by knowing the grip strength of the other hand. Prediction models found that 90% (R2 adj .902) and 70% (R2adj .702) of the variance in one hand could be accounted for by the grip strength of their other hand for male and female teenagers, respectively. Prediction equations were also created to assist in estimating the pre-morbid grip strength of teenagers suffering from bilateral hand injuries. If for the males, measurements for height and hand surface area were entered into these models, the grip strength of the dominant and non-dominant hands could be estimated with 62.6 and 63.5% of the variance between the real and predicted scores accounted for, respectively. For the females the prediction models using height and hand surface area could only account for 33.9 and 42.8% of the variances, with no other independent variables improving the prediction equations. The reliability of the maximal grip strength performance of 154 of these teenagers was retested after one or four weeks. A number of sub-group permutations were created for age, gender, retest time interval and handedness groups. The measures of grip strength for males were highly reliable with ICC (3,1) values ranging from .91 to .97. These measures were significantly higher than that obtained from the females, where reliability values ranged from .69 to .83. Handedness played a significant part in grip strength reliability. The dominant hand of right-handed teenagers achieved an ICC (3,1) of .97, as contrasted with the non-dominant hand of left-handers who attained a very poor ICC (3,1) of .27. The shape of the hands of the males did not influence their grip strength or their reliability values, which ranged from .954 to .973. The shape of female hands did not affect their ability to generate maximal grip strength, only its reliability. The females with hands shaped squarer-than-average had mean grip strength reliability values of ICC (3,1) at only .48, in contrast to those with longer-than-average hands who achieved a mean ICC (3,1) of .92. The handle shape of the dynamometer may disadvantage square-handed females, and this should be further investigated.
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Balkhyour, Mansour. "Factors that affect respirator fit-testing programs." Diss., The University of Arizona, 2004. http://hdl.handle.net/10150/289239.

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Respirators are used to minimize the exposure to air contaminants. A good fit is essential for the effective functioning of a respirator. The Occupational Safety and Health Administration (OSHA) requires an annual respirator fit testing. Respirator fit can be assessed either qualitatively or quantitatively. Two studies were conducted to assess the fit testing program with specific objectives to: (1) assess leak rates in full and half mask respirators; (2) assess the effectiveness of "feedback"1 on the quality of fit; (3) evaluate the effect of daily beard growth on respirator leak rates. In the first study, it was found that the half mask respirator has a significantly lower leak rate than the full face respirator. A significant reduction in leak rate in both respirator types with "feedback" was also observed. The finding that half mask respirators have lower leak rates directly contradicts American National Standard Institute's (ANSI) guidelines of higher Assigned Protection Factor (APF) for full mask respirator. Further studies are necessary to determine these findings and to amend respirator recommendations in the future. As expected in the second study, beard growth was associated with respirator leak rate. The effect of daily growth on leak rate over a period of twelve days could be defined by a second order regression equation. An attempt was made to describe some characteristics of beard that affect the leak rate. After 12 days of beard growth, it was found that the aspect ratio (length/diameter) of hair was inversely correlated with leak rate (r = 0.64). 1Feedback: A numerical value measuring the minimum leak rate that can be gotten from a respirator fitting with a normal donning.
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Anderson, Jeffrey Ryan. "Understanding Contextual Factors in Regression Testing Techniques." Diss., North Dakota State University, 2016. http://hdl.handle.net/10365/25547.

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The software regression testing techniques of test case reduction, selection, and prioritization are widely used and well-researched in software development. They allow for more efficient utilization of scarce testing resources in large projects, thereby increasing project quality at reduced costs. There are many data sources and techniques that have been researched, leaving software practitioners with no good way of choosing which data source or technique will be most appropriate for their project. This dissertation addresses this limitation. First, we introduce a conceptual framework for examining this area of research. Then, we perform a literature review to understand the current state of the art. Next, we performed a family of empirical studies to further investigate the thesis. Finally, we provide guidance to practitioners and researchers. In our first empirical study, we showed that advanced data mining techniques on an industrial product can improve the effectiveness of regression testing techniques. In our next study, we expanded on that research by learning a classification model. This research showed attributes such as complexity and historical failures were the most effective metrics due to a high occurrence of random test failures in the product studied. Finally, we applied the learning from the initial research and the systematic literature survey to develop novel regression testing techniques based on the attributes of an industrial product and showed these new techniques to be effective. These novel approaches included predicting performance faults from test data and customizing regression testing techniques based on usage telemetry. Further, we provide guidance to practitioners and researchers based on the findings from our empirical studies and the literature survey. This guidance will help practitioners and researchers more effectively employ and study regression testing techniques.
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Grobler, Hermanus Johannes Fourie. "Veldram performance testing of dorper rams in Namibia : performance testing, progency testing and factors influencing sale price of rams." Thesis, Nelson Mandela Metropolitan University, 2010. http://hdl.handle.net/10948/1545.

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The study aims to determine the contribution made by available ram growth- and breed standard parameters on the sale price of auctioned rams in Namibia. These findings serve as an indication of the importance ram buyers place on individual parameters in selecting rams for breeding purposes. It furthermore tries to establish whether scientific measurement for the estimation of ram breeding values takes precedence over subjective appraisal. The analysis of the 100 day and 270 day growth performance of the progeny of selected Veldram tested rams were used to evaluate the accuracy of the estimation of ram breeding values and may serve to validate the proper execution of these Veldram tests.
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Pickard, Robert K. L. "FACTORS ASSOCIATED WITH ANONYMOUS HIV TESTING AT A COMMUNITY-BASED TESTING SITE IN COLUMBUS, OH." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1250005469.

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Eichenhofer, David J. "Auditory and visual factors of the Kaufman Assessment Battery for Children : a confirmatory factor analysis." Virtual Press, 1987. http://liblink.bsu.edu/uhtbin/catkey/514707.

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The Kaufman Assessment Battery for Children is a relatively new instrument designed to measure the cognitive abilities of children ages 2 1/2 to 12 1/2. The battery was predominantly based upon Luria's theory of cognitive processing which proposes a simultaneous and sequential dichotomy for the analysis of information. Exploratory and confirmatory factor analyses have generally supported this theory. However, across different age groups and with special populations, analyses have been inconsistent.Few alternative structures for the battery have been tested, especially with special populations.The purpose of the present study was to assess the viability of a two factor structure based upon the modality of input for a group of students referred for learning difficulties. One hundred and twelve students, ages 7 to 12 1/2, who had been referred by teachers because of learning difficulties were used in the study. The thirteen subtests of the K-ABC were specified as being associated with a visual input factor, an auditory input factor, or both. Confirmatory factor analysis, as performed by the LISREL VI computer program, was then used to test this hypothesis. Unreasonable parameter estimates led to the rejection of the model for this sample. This lack of confirmation is discussed in terms of high correlations among estimates, misspecification of the model, sample homogeneity, and lack of independence among the subtests in terms of input modality. It was concluded that input modality was not a major factor in performance on the battery for this particular sample.
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Arunvipas, Pipat. "Milk urea nitrogen, quality control of testing, individual cow factors, and correlations with bulk tank testing." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/MQ63255.pdf.

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Sampson, Brandi J. "Factors That Influence HIV Testing Among African American College Women." ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/1863.

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Human immunodeficiency virus (HIV) has become one of the world's most serious health and development challenges. It is important for African American female students who attend Historically Black Colleges and Universities (HBCUs), to engage in routine HIV testing and know their HIV status based on the high prevalence rate of HIV/AIDS among African American women and the risk of engaging in risky sexual behavior in a college. This qualitative study was developed to help gain a better understanding of how African American female students who attend HBCUs make the decision to engage in HIV testing and their attitudes toward HIV testing. Face-to-face individual interviews were conducted to collect data from African American female students who attend a HBCU. By using the theory of reasoned action and planned behavior (TRA/TPB), behaviors, intentions, attitudes, subjective norms and perceived behavioral control were explored by addressing questions and topics related to attitudes and decision making toward HIV testing. The women interviewed in this study had accepting and positive attitudes toward HIV testing. Perceived risk level was the leading a factor in making the decision to be tested for HIV among participating women. Understanding how these factors affect communities will help public health professionals, educators, community leaders, university personnel, policy makers, community organizations, and researchers develop the most effective strategies for the development and delivery of HIV testing messages that target African American female students who attend HBCUs.
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Robey, Alison Marie. "The Benefits of Testing| Individual Differences Based on Student Factors." Thesis, University of Maryland, College Park, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10286129.

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The testing effect, the notion that retrieval practice compared to restudying information leads to greater and longer retention, is one of the most robust findings in cognitive science. However, not all learners experience a benefit from retrieval practice. Many manipulations that influence the benefits of the testing effect have been explored, however, there is still much to learn about potential individual differences in the benefits of retrieval practice over restudy. As the testing effect grows in popularity and increasing numbers of classrooms begin implementing retrieval practice, it is essential to understanding how students’ individual differences and cognitive abilities contribute to the effect. For my dissertation, I explore how students’ cognitive abilities, specifically, episodic memory, general fluid intelligence, and strategy use, relate to the benefit of retrieval practice. In Study 1, I developed a new measure to simultaneously capture two aspects of strategy use: variation in what strategies learners use and variation in how learners use strategies. In Study 2, I examine how these two types of strategy use, along with episodic memory and general fluid intelligence can be used to predict the magnitude of the testing effect. Converging evidence from multiple analyses suggests variation in how learners use strategies was the only individual difference to influence the benefit learners receive from retrieval practice. More specifically, learners who are less adaptive and flexible in their strategy use show a greater benefit than more skilled strategy users. These findings have implications both for improving existing theories of the mechanisms of the testing effect and for determining how to best incorporate retrieval practice into classroom settings.

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Books on the topic "Testing the factors"

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Charlton, Samuel G., and Thomas G. O'Brien. Handbook of human factors testing and evaluation. 2nd ed. Mahwah, NJ: Lawrence Erlbaum Associates, 2002.

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P, Enderwick Thomas, ed. Human factors in system design, development, and testing. Mahwah, N.J: Lawrence Erlbaum Associates, 2002.

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Melander, John M. Factors affecting water penetration of masonry walls. [Skokie, Ill.]: Portland Cement Association, 1992.

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Tirre, William C. Knowledge and ability factors underlying simple learning by accretion. Brooks Air Force Base, Tex: Air Force Human Resources Laboratory, Air Force Systems Command, 1989.

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Fowkes, A. H. R. Factors influencing the performance of bolted timber joints. Judgeford [N.Z.]: Building Research Association of New Zealand, 1986.

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Moses, Fred. Calibration of load factors for LRFR bridge evaluation. Washington, D.C: National Academy Press, 2001.

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Kyllonen, Patrick C. Role of cognitive factors in the acquisition of cognitive skill. Brooks Air Force Base, Tex: Air Force Human Resources Laboratory, Air Force Systems Command, 1990.

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Roger, Green. Factors affecting the long term strength of compacted Beaumont clay. Austin, Tex: The Center, 1986.

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Estevadeordal, Antoni. Testing trade theory in Ohlin's time. Cambridge, MA: National Bureau of Economic Research, 2002.

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Noonan, Brian. Factors affecting oral language development, kindergarten to grade 2 /By Brian Noonan. Regina, Sask: Saskatchewan School Trustees Association, Research Centre, 1991.

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Book chapters on the topic "Testing the factors"

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Lewis, James R. "Usability Testing." In Handbook of Human Factors and Ergonomics, 1275–316. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/0470048204.ch49.

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Lewis, James R. "Usability Testing." In Handbook of Human Factors and Ergonomics, 1267–312. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118131350.ch46.

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Sangwine, S. J. "Environmental factors and testing." In Electronic Components and Technology, 158–72. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-6934-7_10.

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Berardesca, Enzo. "Factors Influencing Measurements." In Practical Aspects of Cosmetic Testing, 89–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-05067-1_10.

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Berardesca, Enzo, and Norma Cameli. "Factors Influencing Measurements." In Practical Aspects of Cosmetic Testing, 91–101. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44967-4_10.

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Braddock, Martin. "Methods for Testing Immunological Factors." In Drug Discovery and Evaluation: Pharmacological Assays, 1–131. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-27728-3_45-1.

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Braddock, Martin. "Methods for Testing Immunological Factors." In Drug Discovery and Evaluation: Pharmacological Assays, 2091–203. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-05392-9_45.

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Lee, William, and Vladimir Parpura. "Dissociated Cell Culture for Testing Effects of Carbon Nanotubes on Neuronal Growth." In Neurotrophic Factors, 261–76. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-536-7_23.

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Timmerman, Marieke E., Urbano Lorenzo-Seva, and Eva Ceulemans. "The Number of Factors Problem." In The Wiley Handbook of Psychometric Testing, 305–24. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781118489772.ch11.

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Prager, Thomas C. "Essential Factors in Testing for Glare." In Glare and Contrast Sensitivity for Clinicians, 33–44. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3242-1_4.

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Conference papers on the topic "Testing the factors"

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Greenwood, Kristyn, Kelly Braun, and Suzy Czarkowski. "Competitive testing." In CHI98: ACM Conference on Human Factors and Computing Systems. New York, NY, USA: ACM, 1998. http://dx.doi.org/10.1145/286498.286834.

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Taipale, O., K. Smolander, and H. Kalviainen. "Factors affecting software testing time schedule." In Australian Software Engineering Conference (ASWEC'06). IEEE, 2006. http://dx.doi.org/10.1109/aswec.2006.27.

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Ren, Huan, Xiaodong Jiang, Zuxin Huang, Hua Xu, Wei Zhong, and Ke Li. "Effectible factors in optics profile testing." In Optical Metrology, edited by Wolfgang Osten, Christophe Gorecki, and Erik L. Novak. SPIE, 2005. http://dx.doi.org/10.1117/12.611795.

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Ismail, Fatin Filzahti, and Rozilawati Razali. "Contributing factors of successful software testing outsourcing." In 2014 8th Malaysian Software Engineering Conference (MySEC). IEEE, 2014. http://dx.doi.org/10.1109/mysec.2014.6985988.

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Ayalon, Oshrat, and Eran Toch. "A/P(rivacy) Testing." In CHI '19: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3290607.3312972.

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Rostami, Asreen, Valeriy Savinov, and Louise Barkhuus. "Testing in the Field." In CHI '15: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2702613.2732893.

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Lugmayr, Artur, and Stuart Bender. "Free UX Testing Tool." In CHI'16: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2898365.2899801.

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Chen, Kevin, and Haoqi Zhang. "Remote Paper Prototype Testing." In CHI '15: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2702123.2702423.

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Arndt, Mark W., Stephen M. Arndt, and Donald Stevens. "Drag Factors From Rollover Crash Testing for Crash Reconstructions." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-65537.

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A study of numerous published rollover tests was conducted by reexamination of the original works, analysis of their data, and centralized compilation of their results. Instances were identified where the original reported results for trip speed were in error, requiring revision because the analysis technique employed extrapolation versus integration and lacked correction for offset errors that develop by placing the Global Positioning System (GPS) antenna away from the vehicle Center of Gravity (CG). An analysis was performed demonstrating revised results. In total, 81 dolly rollover crash tests, 24 naturally occurring rollover crash tests, and 102 reconstructed rollovers were identified. Of the 24 naturally occurring tests, 18 were steer-induced rollover tests. Distributions of the rollover drag factors are presented. The range of drag factors for all examined dolly rollovers was 0.38 g to 0.50 g with the upper and lower 15 percent statistically trimmed. The average drag factor for dolly rollovers was 0.44 g (standard deviation = 0.064) with a reported minimum of 0.31 g and a reported maximum of 0.61 g. After revisions, the range of drag factors for the set of naturally occurring rollovers was 0.39 g to 0.50 g with the upper and lower 15 percent statistically trimmed. The average drag factor for naturally occurring rollovers was 0.44 g (standard deviation = 0.063) with a reported minimum of 0.33 g and a reported maximum of 0.57 g. These results provide a more probable range of the drag factor for use in accident reconstruction compared to the often repeated assertion that rollover drag factors range between 0.4 g and 0.65 g.
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Brown, Warren, and Stewart Long. "Factors Influencing Nut Factor Test Results." In ASME 2017 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/pvp2017-65506.

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Nut Factor is used to establish a bolt load for a given applied torque in bolted joint assembly. In previous papers the effects of different factors influencing Nut Factor results were examined, which included the type of anti-seize, bolt and nut material, bolt diameter and amount of anti-seize applied. This paper examines those factors further and then includes additional factors which have been shown to have significant effect on the measured Nut Factor. The knowledge of these factors has been used to adjust the proposed ASTM specification for determining Nut Factor. It is also relevant to application in the field and to ensure that any testing conducted in a laboratory will be applicable in the field.
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Reports on the topic "Testing the factors"

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Human Factors Committee, OSAC. Human Factors in Validation and Performance Testing of Forensic Science. Organization of Scientific Area Committees (OSAC) for Forensic Science, May 2020. http://dx.doi.org/10.29325/osac.ts.0004.

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2

Shortlidge, Erin. Testing the Ecological and Physiological Factors Influencing Reproductive Success in Mosses. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1950.

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3

Doherty, Robert, Michael Williamson, Jana Kesavan, Daryl Jones, Deborah Schepers, and Victor Arca. Collective Protection Factors Methodology Development Using High Concentration Polydisperse Inert Aerosols: Results of FY09 Testing. Fort Belvoir, VA: Defense Technical Information Center, April 2012. http://dx.doi.org/10.21236/ada560476.

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4

Reese, Robert, Robert Reese, Sean Fournier, and Mark Allen. Testing Minimum Detectable Activity of Whole-Body Counting System in the Presence of Interfering Factors. Office of Scientific and Technical Information (OSTI), June 2018. http://dx.doi.org/10.2172/1815351.

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5

Ang, Andrew, and Dennis Kristensen. Testing Conditional Factor Models. Cambridge, MA: National Bureau of Economic Research, November 2011. http://dx.doi.org/10.3386/w17561.

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6

Follett, Jordan R. Cone Penetrometer N Factor Determination Testing Results. Office of Scientific and Technical Information (OSTI), March 2014. http://dx.doi.org/10.2172/1129801.

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7

Gilsinn, Jim, Kang Lee, John Michaloski, Fred Proctor, and Eugene Song. Factory Equipment Network Testing Framework: Concept, Requirements, and Architecture. Gaithersburg, MD: National Institute of Standards and Technology, September 2012. http://dx.doi.org/10.6028/nist.tn.1755.

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8

Weiss, W. Jason, Chunyu Qiao, Burkan Isgor, and Jan Olek. Implementing Rapid Durability Measure for Concrete Using Resistivity and Formation Factor. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317120.

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Abstract:
The durability of in-place concrete is a high priority issue for concrete pavements and bridges. Several studies have been conducted by INDOT to use electrical resistivity as a measure of fluid transport properties. Resistivity is dependent on the chemistry of the cement and supplementary cementitious system used, as such it has been recommended that rather than specifying resistivity it may be more general to specify the formation factor. Samples were tested to establish the current levels of performance for concrete pavements in the state of Indiana. Temperature and moisture corrections are presented and acceptable accelerated aging procedure is presented. A standardized testing procedure was developed (AASHTO TP 119–Option A) resulting in part from this study that provides specific sample conditioning approaches to address pore solution composition, moisture conditioning, and testing procedures. An accelerated aging procedure is discussed to obtain later age properties (91 days) after only 28 days.
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Gilsinn, Jim, Kang Lee, John Michaloski, Fred Proctor, and Eugene Song. Factory Equipment Network Testing Framework: Universal Client Application, Application Programming Interface. Gaithersburg, MD: National Institute of Standards and Technology, September 2012. http://dx.doi.org/10.6028/nist.tn.1754.

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10

Uhland, Gary. Beyond difference scores : testing models of speed of information-processing using confirmatory factor analysis. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.5717.

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