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1

Horgan, John. "Flash Point." Scientific American 260, no. 4 (April 1989): 18–20. http://dx.doi.org/10.1038/scientificamerican0489-18.

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2

Patil, G. S. "Estimation of flash point." Fire and Materials 12, no. 3 (September 1988): 127–31. http://dx.doi.org/10.1002/fam.810120307.

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3

Coats, Karen. "Flash Point (review)." Bulletin of the Center for Children's Books 66, no. 5 (2013): 252. http://dx.doi.org/10.1353/bcc.2013.0003.

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4

Liaw, Horng-Jang. "Minimum flash point behavior of ternary solutions with three minimum flash point binary constituents." Fuel 217 (April 2018): 626–32. http://dx.doi.org/10.1016/j.fuel.2018.01.023.

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5

Tang, Yan Fei, Lei Yin, Yi Niu, and Jian Wang. "Experiment Study on Aviation Kerosene's Flash Point Temperature of Low Pressure Environment." Advanced Materials Research 415-417 (December 2011): 2160–65. http://dx.doi.org/10.4028/www.scientific.net/amr.415-417.2160.

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Flash point is one of the major physical and chemical properties used to determine the fire and explosion hazards of liquids; therefore, the prediction of flash point is an important safety consideration. However, the study on flash point and the correlation between flash point and pressure has been inadequate, and needs further investigation. So in this paper, the experimental method is adopted to study the correlation between the closed flash point temperature of RP-5 Aviation Kerosene and low pressure environment. In the experiments, use the BS-1 closed bomb apparatus to measure the oil samples and use the hypobaric chamber to change the environment pressure from 50kPa to 101.3kPa. Through the experiment data, it indicates that the atmospheric pressure is much lower than the normal atmosphere, there is a quadratic function relation between the reciprocal Aviation Kerosene's flash points and logarithm of environment pressure, therefore the relationship between the reciprocal Aviation Kerosene’s flash points and altitude is reciprocal. Compared the experiment results with theoretical results, it finds that the experiment result is closed to reality. The experiment results will provide the scientific data for the safety of aircraft tank, and benefit the fire protection, such as inflammable liquid production, transport, storage et al in oil pipeline management.
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6

Tang, Yan Fei, Chao Ding, Ya Ping He, De Chuang Zhou, and Jian Wang. "Studies on the Effect of Altitude on the Flammable Liquids' Flash Point." Advanced Materials Research 908 (March 2014): 345–48. http://dx.doi.org/10.4028/www.scientific.net/amr.908.345.

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Presented in this paper is part of an experimental series conducted at different altitudes to investigate the influence of altitude on the flammable liquids flash point. The BS-1 closed bomb apparatus is used to measure the flash points of two flammable liquids (dimethylacetylamide (DMA) and RP-5 Jet A) in a hypobaric chamber under the altitude change from 4860 km to the sea level. The experimental results show that the flash points of DMA and Jet A decrease linearly with the increase in altitude in the low altitude region below the corresponding critical altitudes but non-linearly above. The critical altitudes for DMA and RP-5 Jet A are found to be 3 km and 3.83 km respectively. When the altitude reaches or surpasses the critical altitude, the flash point decreases rapidly. In particular, the flash point of the DMA exhibits a peculiar sudden transition above the critical altitude.
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7

Li, X., P. P. Duan, K. N. Sun, and X. Yan. "Prediction of the Flash Point of Binary and Ternary Straight-Chain Alkane Mixtures." Advances in Materials Science and Engineering 2014 (2014): 1–5. http://dx.doi.org/10.1155/2014/239023.

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The flash point is an important physical property used to estimate the fire hazard of a flammable liquid. To avoid the occurrence of fire or explosion, many models are used to predict the flash point; however, these models are complex, and the calculation process is cumbersome. For pure flammable substances, the research for predicting the flash point is systematic and comprehensive. For multicomponent mixtures, especially a hydrocarbon mixture, the current research is insufficient to predict the flash point. In this study, a model was developed to predict the flash point of straight-chain alkane mixtures using a simple calculation process. The pressure, activity coefficient, and other associated physicochemical parameters are not required for the calculation in the proposed model. A series of flash points of binary and ternary mixtures of straight-chain alkanes were determined. The results of the model present consistent experimental results with an average absolute deviation for the binary mixtures of 0.7% or lower and an average absolute deviation for the ternary mixtures of 1.03% or lower.
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8

Le, Tu C., Mathew Ballard, Phillip Casey, Ming S. Liu, and David A. Winkler. "Illuminating Flash Point: Comprehensive Prediction Models." Molecular Informatics 34, no. 1 (November 4, 2014): 18–27. http://dx.doi.org/10.1002/minf.201400098.

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9

Liu, Xinshuai, and Zhenyi Liu. "Research Progress on Flash Point Prediction." Journal of Chemical & Engineering Data 55, no. 9 (September 9, 2010): 2943–50. http://dx.doi.org/10.1021/je1003143.

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10

Rowley, J. R., D. K. Freeman, R. L. Rowley, J. L. Oscarson, N. F. Giles, and W. V. Wilding. "Flash Point: Evaluation, Experimentation and Estimation." International Journal of Thermophysics 31, no. 4-5 (March 10, 2010): 875–87. http://dx.doi.org/10.1007/s10765-010-0716-x.

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11

Carroll, Felix A., Chung-Yon Lin, and Frank H. Quina. "Improved Prediction of Hydrocarbon Flash Points from Boiling Point Data." Energy & Fuels 24, no. 9 (September 16, 2010): 4854–56. http://dx.doi.org/10.1021/ef1005836.

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12

Ding, Chao, De Chuang Zhou, Xiao Hui Zhang, Xin Ma, and Jian Wang. "A Relationship between Flash Point and Boiling Point of the Flammable Liquids at Low Pressure." Applied Mechanics and Materials 664 (October 2014): 210–14. http://dx.doi.org/10.4028/www.scientific.net/amm.664.210.

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Flash point and boiling point are the important physical property of the flammable liquids, and are important parameters to evaluate their combustion behavior. In this study, as series of measurement of two mono compound fuels (N-decane and N-hexanol) and two mixture compound fuels (0# diesel and Jet A) at different pressure were carried out by using the flash point (open-closed cup) and boiling point measuring apparatus in an altitude chamber at different sub-atmospheric pressures at 35 KPa, 45 KPa, 55 KPa, 65 KPa, 75 KPa, 85 KPa, 95 KPa and 101 KPa were conducted. Based on the theoretical formula between the flash point (TF) and the boiling point (TB) and the atmosphere pressure, the relationship between TB and TF has been derived. The experiment results and the theoretical formula all show that the flash point is in linear relationship with the boiling point. The results can provide a more scientific insight into the production, storage, transport and use of fuel and the safety design in aircraft fuel tank.
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13

Liaw, Horng-Jang, and Chieh-An Yang. "Maximum flash point behavior of ternary mixtures with single and two maximum flash point binary constituents." Process Safety and Environmental Protection 143 (November 2020): 293–303. http://dx.doi.org/10.1016/j.psep.2020.05.053.

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14

Rong, Yan, Linyuan Guo, Yunyan Peng, Jianhua Yang, and Dong Jin. "Uncertainty Measurement of Closed Flash Point of Organic Heat Carrier." E3S Web of Conferences 267 (2021): 02039. http://dx.doi.org/10.1051/e3sconf/202126702039.

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The closed flash point is an important indicator in the detection of organic heat carrier. In this paper, based on the Pensky-Martin flash point (closed) measurement method, the closed flash point of the organic heat carrier is measured with an automatic closed cup flash point meter. The factors that may affect the accuracy of the measurement result during the measurement process are analyzed, and the uncertainty is determined. Through the analysis of the established uncertainty component sources, the repeatability measurement of the organic heat carrier, the temperature sensor, the pressure sensor, and the numerical rounding based on the standard, the results of the closed flash point determination of the organic heat carrier are obtained. The synthetic uncertainty and the relative expanded uncertainty are evaluated to improve the reliability of the measurement results of the closed flash point of the organic heat carrier and provide a reference for the quality control of the organic heat carrier.
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15

Alexeev, S. G., K. S. Alexeev, and N. M. Barbin. "ABOUT THE FLASH POINT OF ORGANIC COMPOUNDS." Occupational Safety in Industry, no. 11 (November 2018): 41–44. http://dx.doi.org/10.24000/0409-2961-2018-11-41-44.

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16

Jones, J. C. "On the Flash Point of Benzoic Acid." Journal of Fire Sciences 19, no. 3 (May 2001): 177–80. http://dx.doi.org/10.1106/kara-hefp-qq31-yrr2.

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17

ALEXEEV, S. G., K. S. ALEXEEV, V. V. SMIRNOV, and N. M. BARBIN. "FLASH POINT. PART IV. THE DESCRIPTORS METHOD." ПОЖАРОВЗРЫВОБЕЗОПАСНОСТЬ 23, no. 5 (2014): 18–37. http://dx.doi.org/10.18322/pvb.2014.23.5.18-37.

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18

Petersen, DR, RE Link, RG Montemayor, JE Rogerson, JC Colbert, and SB Schiller. "Reference Verification Fluids for Flash Point Determination." Journal of Testing and Evaluation 27, no. 6 (1999): 423. http://dx.doi.org/10.1520/jte12171j.

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19

Zhokhova, N. I., I. I. Baskin, V. A. Palyulin, A. N. Zefirov, and N. S. Zefirov. "Fragmental descriptors in QSPR: flash point calculations." Russian Chemical Bulletin 52, no. 9 (September 2003): 1885–92. http://dx.doi.org/10.1023/b:rucb.0000009629.38661.4c.

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20

Hasegawa, Kazutoshi, and Keizou Kashiki. "A method for measuring upper flash point." Journal of Loss Prevention in the Process Industries 4, no. 3 (April 1991): 176–84. http://dx.doi.org/10.1016/0950-4230(91)80034-r.

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21

Liaw, Horng-Jang, and Shen-Chun Lin. "Binary mixtures exhibiting maximum flash-point behavior." Journal of Hazardous Materials 140, no. 1-2 (February 2007): 155–64. http://dx.doi.org/10.1016/j.jhazmat.2006.06.050.

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22

Ma, Jilin, Amin Shahsavar, Abdullah A. A. A. Al-Rashed, Arash Karimipour, Hooman Yarmand, and Sara Rostami. "Viscosity, cloud point, freezing point and flash point of zinc oxide/SAE50 nanolubricant." Journal of Molecular Liquids 298 (January 2020): 112045. http://dx.doi.org/10.1016/j.molliq.2019.112045.

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23

Carroll, Felix A., Chung-Yon Lin, and Frank H. Quina. "Calculating Flash Point Numbers from Molecular Structure: An Improved Method for Predicting the Flash Points of Acyclic Alkanes." Energy & Fuels 24, no. 1 (January 21, 2010): 392–95. http://dx.doi.org/10.1021/ef900883u.

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24

Hristova, Mariana, and Dimitar Damgaliev. "Flash point of organic binary mixtures containing alcohols: experiment and prediction." Open Chemistry 11, no. 3 (March 1, 2013): 388–93. http://dx.doi.org/10.2478/s11532-012-0171-6.

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AbstractThe flash points of three organic binary mixtures containing alcohols were measured in the present work. The experimental data was obtained using the Pensky-Martens closed cup tester. The experimental data were compared with the values calculated by the Liaw model. Activity coefficients were calculated by the Wilson equation and NRTL equation. The accuracy of predicted flash point values is dependent on the thermodynamic model used for activity coefficient.
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25

Hristova, Mariana. "Measurement and prediction of binary mixture flash point." Open Chemistry 11, no. 1 (January 1, 2013): 57–62. http://dx.doi.org/10.2478/s11532-012-0131-1.

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AbstractThe flash points of three binary mixtures, containing n-heptane, o-xylene, m-xylene and ethylbenzene, were measured by Pensky-Martens closed cup tester. The experimental data were compared with the calculated values using Liaw’s Model with the application of Raoult’s Law and Wilson equation. These equations were in good qualitative agreement.
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26

YAMASHITA, Hiromi, Wei-Chun Xu, Toshiya JINOKA, Vidyadhar SHROTRI, Masayuki HAJIMA, and Akira TOMIT. "Flash Hydropyrolysis of Coal using Curie-point Pyrolyzer." Journal of the Japan Institute of Energy 71, no. 3 (1992): 189–94. http://dx.doi.org/10.3775/jie.71.189.

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27

Jones, J. C. "Uncertainties in the flash point of dimethyl ether." Journal of Loss Prevention in the Process Industries 14, no. 5 (September 2001): 429–30. http://dx.doi.org/10.1016/s0950-4230(01)00012-2.

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28

Liaw, H. J., T. P. Lee, J. S. Tsai, W. H. Hsiao, M. H. Chen, and T. T. Hsu. "Binary liquid solutions exhibiting minimum flash-point behavior." Journal of Loss Prevention in the Process Industries 16, no. 3 (May 2003): 173–86. http://dx.doi.org/10.1016/s0950-4230(03)00004-4.

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29

Di Benedetto, Almerinda, Roberto Sanchirico, and Valeria Di Sarli. "Flash point of flammable binary mixtures: Synergistic behavior." Journal of Loss Prevention in the Process Industries 52 (March 2018): 1–6. http://dx.doi.org/10.1016/j.jlp.2018.01.005.

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30

Astray, Gonzalo, Juan F. Gálvez, Juan C. Mejuto, Oscar A. Moldes, and Iago Montoya. "Esters flash point prediction using artificial neural networks." Journal of Computational Chemistry 34, no. 5 (September 28, 2012): 355–59. http://dx.doi.org/10.1002/jcc.23139.

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31

Ha, Dong-Myeong, and Sungjin Lee. "The Flash Point Measurement for Binary Flammable Mixture." Journal of the Korean Institute of Gas 18, no. 5 (October 31, 2014): 60–65. http://dx.doi.org/10.7842/kigas.2014.18.5.60.

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32

Neto, Antonio Marinho Barbosa, Débora Costa Do Nascimento, and Laboratório de Equilíbrio de Fases (Lef) Faculdade Química. "Flamma: A flash point prediction tool for biofuels." Rio Oil and Gas Expo and Conference 20, no. 2020 (December 1, 2020): 253–54. http://dx.doi.org/10.48072/2525-7579.rog.2020.253.

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33

Khayroiyah, Siti, and Haryati Ahda Nasutiom. "Peningkatan Hasil Belajar Matematika Siswa SMK dengan Menggunakan Media Belajar Macromedia Flash." Logaritma : Jurnal Ilmu-ilmu Pendidikan dan Sains 8, no. 01 (June 30, 2020): 93–104. http://dx.doi.org/10.24952/logaritma.v8i01.2413.

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The purpose of this research is to analyze the incarse in the learning outcomes between students whose leraning uses macromedia flash media and the students whose leraning using power point media. This research was conducted using quantitative research through quasi-experimental methods. This study includes two variables, namely learning using macromedia flash and power point as independent variable and learning outcomes as the dependent variable. In this study, researcheres used all students in the one of private high school in the Medanas a study population follwed by sample selection using a random sampling methods. The result obtained are class of XII A-3 as an experimental class and class of XII A-4 as control class. In collecting data, researchers used an instrument in the form of a students’s mathematics learning achievment test which was given twice, namely before being given learning using macromedia flash (pre test) and after being given learning using macromedia flash and power point (post test). Furthermore, hypotesis testing is performed on the data that has been obtained using the t-test with the help of the SPSS program. Hypothesis testing resukt show that increase in mathematics learning outcomes of students whose learning uses macromedia flash media is higher than students whose learning uses power points. Therefore, it is recomended that learning to use macromedia flash media be used as an alternative learning media for teachers to improve student learning outcomes and the other ability of students.
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34

Fazio, Al. "Flash Memory Scaling." MRS Bulletin 29, no. 11 (November 2004): 814–17. http://dx.doi.org/10.1557/mrs2004.233.

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AbstractIn order to meet technology scaling in the field of solid-state memory and data storage, the mainstream transistor-based flash technologies will start evolving to incorporate material and structural innovations. Dielectric scaling in nonvolatile memories is approaching the point where new approaches will be required to meet the scaling requirements while simultaneously meeting the reliability and performance requirements of future products. High-dielectric-constant materials are being explored as possible candidates to replace the traditional SiO2 and ONO (oxide/nitride/oxide) films used today in memory cells. Likewise, planar-based memory cell scaling is approaching the point where scaling constraints force exploration of new materials and nonplanar, three-dimensional scaling alternatives. This article will review the current status and discuss the approaches being explored to provide scaling solutions for future transistor floating-gate-based nonvolatile memory products. Based on the introduction of material innovations, it is expected that the planar transistor-based flash memory cells can scale through at least the end of the decade (2010) using techniques that are available today or projected to be available in the near future. More complex, structural innovations will be required to achieve further scaling.
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35

Poelman, Dieter R., Wolfgang Schulz, Stephane Pedeboy, Leandro Z. S. Campos, Michihiro Matsui, Dustin Hill, Marcelo Saba, and Hugh Hunt. "Global ground strike point characteristics in negative downward lightning flashes – Part 2: Algorithm validation." Natural Hazards and Earth System Sciences 21, no. 6 (June 18, 2021): 1921–33. http://dx.doi.org/10.5194/nhess-21-1921-2021.

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Abstract. At present the lightning flash density is a key input parameter for assessing the risk of occurrence of a lightning strike in a particular region of interest. Since it is known that flashes tend to have more than one ground termination point on average, the use of ground strike point densities as opposed to flash densities is more appropriate. Lightning location systems (LLSs) do not directly provide ground strike point densities. However, ingesting their observations into an algorithm that groups strokes into respective ground strike points results in the sought-after density value. The aim of this study is to assess the ability of three distinct ground strike point algorithms to correctly determine the observed ground-truth strike points. The output of the algorithms is tested against a large set of ground-truth observations taken from different regions around the world, including Austria, Brazil, France, Spain, South Africa and the United States of America. These observations are linked to the observations made by a local LLS in order to retrieve the necessary parameters of each lightning discharge, which serve as input for the algorithms. Median values of the separation distance between the first stroke in the flash and subsequent ground strike points are found to vary between 1.3 and 2.75 km. It follows that all three of the algorithms perform well, with success rates of up to about 90 % to retrieve the correct type of the strokes in the flash, i.e., whether the stroke creates a new termination point or follows a pre-existing channel. The most important factor that influences the algorithms' performance is the accuracy by which the strokes are located by the LLS. Additionally, it is shown that the strokes' peak current plays an important role, whereby strokes with a larger absolute peak current have a higher probability of being correctly classified compared to the weaker strokes.
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36

Regalado-Méndez, Alejandro, Sigurd Skogestad, Reyna Natividad, and Rubí Romero. "Biodiesel Production by Reactive Flash: A Numerical Simulation." International Journal of Chemical Engineering 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/7843081.

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Reactive flash (RF) in biodiesel production has been studied in order to investigate steady-state multiplicities, singularities, and effect of biodiesel quality when the RF system approaches to bubble point. The RF was modeled by an index-2 system of differential algebraic equations, the vapor split (ϕ) was computed by modified Rachford-Rice equation and modified Raoult’s law computed bubble point, and the continuation analysis was tracked on MATCONT. Results of this study show the existence of turning points, leading to a unique bubble point manifold,(xBiodiesel,T)=(0.46,478.41 K), which is a globally stable flashing operation. Also, the results of the simulation in MATLAB® of the dynamic behavior of the RF show that conversion of triglycerides reaches 97% for a residence time of 5.8 minutes and a methanol to triglyceride molar flow ratio of 5 : 1.
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37

Luning Prak, Dianne J., Gretchen R. Simms, Michael Hamilton, and Jim S. Cowart. "Impact of low flash point compounds (hydrocarbons containing eight carbon atoms) on the flash point of jet fuel and n-dodecane." Fuel 286 (February 2021): 119389. http://dx.doi.org/10.1016/j.fuel.2020.119389.

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38

Tsai, Tsung Pin, and Horng Jang Liaw. "Flash-Point Prediction of Binary Partially Miscible Aqueous-Organic Mixtures from UNIFAC Group Contribution Methods." Advanced Materials Research 560-561 (August 2012): 1178–83. http://dx.doi.org/10.4028/www.scientific.net/amr.560-561.1178.

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Flash point is one of the most important variables used to characterize fire and explosion hazard of liquids. This paper predicts the flash point of binary partially miscible aqueous mixtures by using the flash point prediction model of Liaw et al. handling non-ideal behavior through liquid phase activity coefficients evaluated with UNIFAC-type models, which do not need experimentally regressed binary parameters. Validation of this entirely predictive model is conclusive with the experimental data over the entire flammable composition range. Overall, the proposed method predicted the experimental data very well. Potential application for this approach concerns the classification of flammable liquid mixtures in the implementation of GHS.
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39

Jones, J. C., and J. Godefroy. "A reappraisal of the flash point of formic acid." Journal of Loss Prevention in the Process Industries 15, no. 3 (May 2002): 245–47. http://dx.doi.org/10.1016/s0950-4230(01)00062-6.

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40

Godefroy, J., and J. C. Jones. "A reappraisal of the flash point of formic acid." Journal of Loss Prevention in the Process Industries 15, no. 3 (May 2002): 241–43. http://dx.doi.org/10.1016/s0950-4230(01)00063-8.

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41

Vidal, M., W. J. Rogers, and M. S. Mannan. "Prediction of Minimum Flash Point Behaviour for Binary Mixtures." Process Safety and Environmental Protection 84, no. 1 (January 2006): 1–9. http://dx.doi.org/10.1205/psep.05041.

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42

Dias, Rafael Macedo, Rafael Thomaz Aquino, Maria Alvina Krähenbühl, and Mariana Conceição Costa. "Flash Point of Fatty Acid Methyl Ester Binary Mixtures." Journal of Chemical & Engineering Data 64, no. 8 (July 24, 2019): 3465–72. http://dx.doi.org/10.1021/acs.jced.9b00267.

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43

ALEXEEV, S. G., V. V. SMIRNOV, K. S. ALEXEEV, and N. M. BARBIN. "FLASH POINT. PART III. CALCULATION VIA A BOILING TEMPERATURE." ПОЖАРОВЗРЫВОБЕЗОПАСНОСТЬ 23, no. 3 (2014): 30–43. http://dx.doi.org/10.18322/pvb.2014.23.3.30-43.

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44

Kimura, Bruce J., and Keshav R. Nayak. "“Asymptomatic” Flash Pulmonary Edema by Point-of-Care Ultrasound." JACC: Case Reports 2, no. 10 (August 2020): 1545–49. http://dx.doi.org/10.1016/j.jaccas.2020.06.029.

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45

Valenzuela, Edna M., Richart Vázquez-Román, Suhani Patel, and M. Sam Mannan. "Prediction models for the flash point of pure components." Journal of Loss Prevention in the Process Industries 24, no. 6 (November 2011): 753–57. http://dx.doi.org/10.1016/j.jlp.2011.04.010.

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46

Syukroyanti, Bq Azmi, and Wirawan Putrayadi. "PENGEMBANGAN MEDIA ANIMASI DENGAN APLIKASI MAKROMEDIA FLASH PADA MATERI LISTRIK STATIS." Lensa : Jurnal Kependidikan Fisika 5, no. 1 (June 17, 2017): 1. http://dx.doi.org/10.33394/j-lkf.v5i1.118.

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The development of learning media is very important to support teaching and learning in the classroom because abstract concepts in physics are difficult to understand. This study aims to Develop Animation Media using Macromedia Flash Application On Static Electric Material. This research uses the development of ADDIE model (Analysis, Design, Development, Implementation, Evaluation). Data collected by Questionnaire. Questionnaire is used to measure program indicators relating to the content of learning media, program display, and program technical quality. Questionnaire uses a four-point response from Likert scale, where the response alternative is excellent (4 points), good (3 point), less good (2 point) and bad (1 point)
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47

Catoire, Laurent, and Valérie Naudet. "A Unique Equation to Estimate Flash Points of Selected Pure Liquids Application to the Correction of Probably Erroneous Flash Point Values." Journal of Physical and Chemical Reference Data 33, no. 4 (December 2004): 1083–111. http://dx.doi.org/10.1063/1.1835321.

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48

Buonocore, Antimo, Robert D. McIntosh, and David Melcher. "Beyond the point of no return: effects of visual distractors on saccade amplitude and velocity." Journal of Neurophysiology 115, no. 2 (February 1, 2016): 752–62. http://dx.doi.org/10.1152/jn.00939.2015.

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Visual transients, such as a bright flash, reduce the proportion of saccades executed, ∼60–125 ms after flash onset, a phenomenon known as saccadic inhibition (SI). Across three experiments, we apply a similar time-course analysis to the amplitudes and velocities of saccades. Alongside the expected reduction of saccade frequency in the key time period, we report two perturbations of the “main sequence”: one before and one after the period of SI. First, saccades launched between 30 and 70 ms, following the flash, were hypometric, with peak speed exceeding that expected for a saccade of similar amplitude. This finding was in contrast to the common idea that saccades have passed a “point of no return,” ∼60 ms before launching, escaping interference from distractors. The early hypometric saccades observed were not a consequence of spatial averaging between target and distractor locations, as they were found not only following a localized central flash ( experiment 1) but also following a spatially generalized flash ( experiment 2). Second, across experiments, saccades launched at 110 ms postflash, toward the end of SI, had normal amplitude but a peak speed higher than expected for that amplitude, suggesting increased collicular excitation at the time of launching. Overall, the results show that saccades that escape inhibition following a visual transient are not necessarily unaffected but instead, can reveal interference in spatial and kinematic measures.
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49

Ha, Dong-Myeong, Sang Hun Park, and Sungjin Lee. "The Measurement of Flash Point of Water-Methanol and Water-Ethanol Systems Using Seta Flash Closed Cup Tester." Fire Science and Engineering 29, no. 2 (April 30, 2015): 39–43. http://dx.doi.org/10.7731/kifse.2015.29.2.039.

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50

Nuryosuwito, Nuryosuwito, Mokhamad Amirudin Ibnu Rosydi, and Hesti Istiqlaliyah. "Pemanfatan Sampah Plastik Jenis HDPE Menjadi Bahan Bakar Alternatif Proses Pyrolysis." Jurnal Mesin Nusantara 3, no. 2 (January 21, 2021): 92–101. http://dx.doi.org/10.29407/jmn.v3i2.15573.

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Penelitian ini dilatarbelakangi karena semakin menumpuknya sampah plastik yang sulit terurai mengakibatkan pencemaran lingkungan. Dalam hal ini peneliti mengaitkan permasalahan yang ada di masyarakat dengan mencoba memanfaatkan sampah plastik jenis HDPE sebagai bahan bakar alternatif dengan menggunakan proses pyrolysis. Pyrolysis sendiri adalah pengolahan sampah dengan menggunakan metode thermal atau metode pembakaran tanpa menggunakan oksigen. Tujuan dari penelitian ini adalah ntuk mengetahui pemanfaatan sampah plastik jenis HDPE menjadi bahan bakar alternatif dengan proses pyrolysis. Metode yang digunakan dalam penelitian ini adalah metode eksperimental nyata. Dengan bahan sebagai variabel bebas dan nialai viskositas, densitas serta flash point sebagai variabel terikatnya. Sementara suhu kondensor dan tekanan sebagai variabel kontrol. Dari hasil penelitian yang telah dilakukan, pada suhu 250 ºC hasil cair berwarna pekat dan terdapat endapan, dengan nilai viskositas 0,3 dPa.S, Densitas 750 Kg/m3 dan Flash point 34 ºC. selanjutnya pada suhu 300 ºC hasil cair berwarna merah tua jernih tanpa adanya endapan hasil cair dari suhu 300 ºC ini merupakan hasil cair terbaik dibandingkan dengan suhu yang lain dengan nilai viskositas 0,29 dPa.S, Densitas 740 Kg/m3 dan Flash point 32 ºC. Pada suhu 350 ºC hasil cair berwarna merah tua jernih seperti pada suhu 300 ºC tetapi pada suhu 350 ºC terdapat endapan, dengan nilai viskositas 0,3 dPa.S, Densitas 750 Kg/m3 dan Flash point 33 ºC. pada suhu 400 ºC hasil cair berwarna pekat dan terdapat banyak endapan dengan nilai viskositas 0,31 dPa.S, Densitas 760 Kg/m3 dan Flash point 34 ºC.
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