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Journal articles on the topic 'Sensitivy analysis'

Author: Grafiati

Published: 10 March 2023

Last updated: 31 July 2025

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1

Anders, Gilberto, and Itamar Borges. "Topological Analysis of the Molecular Charge Density and Impact Sensitivy Models of Energetic Molecules." Journal of Physical Chemistry A 115, no. 32 (2011): 9055–68. http://dx.doi.org/10.1021/jp204562d.

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2

Rismawati, Rismawati, Lince Bulutoding, and Eka Suhartini. "PENGARUH ORGANIZATIONAL CITIZENSHIP BEHAVIOR, SELF EFFICACY DAN PROFESSIONAL ETHICAL SENSITIVY TERHADAP KINERJA AUDITOR DENGAN EMPLOYEE ENGAGEMENT SEBAGAI MODERASI." ISAFIR: Islamic Accounting and Finance Review 2, no. 1 (2021): 98–107. http://dx.doi.org/10.24252/isafir.v2i1.19935.

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Penelitian ini menguji pengaruh Organizational Citizenship Behavior, Self Efficacy, dan Professional Ethical Sensitivity terhadap Kinerja Auditor dengan Employee Engangement sebagai Variabel Moderasi. Penelitian ini merupakan penelitian kuantitatif dengan pendekatan deskriptif dengan populasi berasal dari auditor yang bekerja pada Inspektorat Kota Makassar. Sampel penelitian sebanyak 30 auditor yang mengembalikan kuisioner dari jumlah 35 kuisioner yang disebar. Analisis data yang digunakan adalah analisis regresi berganda dan pemoderasi digunakan uji MRA (Moderated Regression Analysis). Hasil

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3

Pérez-Romero, Judit. "Dark Matter Gamma-ray searches in Galaxy Clusters: Status and prospects." EPJ Web of Conferences 319 (2025): 11004. https://doi.org/10.1051/epjconf/202531911004.

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Galaxy clusters are the largest structures in the Universe, being dark matter (DM) dominated objects. For DM decay, they yield the highest expected fluxes with respect to other prime targets. ForDMannihilation, clusters can provide fluxes comparable to dwarf spheroidal galaxies, as long as the contribution from substructures is taken into account. We present the analysis of 12 years of Fermi-LAT data in the direction of 49 clusters. We modelled the expected substructure population in these objects, providing benchmark models to quantify the uncertainty on their contribution to the annihilation

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4

Huapaya, Yessenia, and John Astete Cornejo. "SS66-02 VALIDATION OF THE ‘COMPUTER VISION SYNDROME QUESTIONNAIRE’ (CVS-Q) INSTRUMENT AMONG ADMINISTRATIVE WORKERS IN LIMA, PERU (2019)." Occupational Medicine 74, Supplement_1 (2024): 0. http://dx.doi.org/10.1093/occmed/kqae023.0380.

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Abstract Introduction Computer Vision Syndrome (CVS) is currently considered an emerging public health problem due to the increase in economic activities associated with the use of data display screens (DDS). However, the lack of an instrument to identify the early symptoms and signs, can originate a prolonged exposure to the use of DDS and increase the prevalence of symptoms. Material and Methods A validation study incorporating content and discriminant validation of the CVS-Q instrument was carried out on administrative sector workers, susceptible to presenting risk factors associated with C

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5

Taji, Kouichi, and Keiji Matsumoto. "INVERSE SENSITIVE ANALYSIS OF PAIRWISE COMPARISON MATRICES." Journal of the Operations Research Society of Japan 49, no. 4 (2006): 332–41. http://dx.doi.org/10.15807/jorsj.49.332.

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6

Riveros, Bruno, Mariana Rosim, Gabriel Pedro, Rosa Lucchetta, and Marcelo Nita. "Análise de custo-efetividade e a análise de sensibilidade, um roteiro para execução de uma abordagem probabilística: Introdução à análise de sensibilidade probabilística (Parte I)." Jornal de Assistência Farmacêutica e Farmacoeconomia 1, no. 2 (2016): 33–38. http://dx.doi.org/10.22563/2525-7323.2016.v1.n2.p.33-38.

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7

HORVATH, Gabor, and Norbert PATAKI. "IMPROVING THE PRECISION OF FLOW-SENSITIVE LIFETIME ANALYSIS." Acta Electrotechnica et Informatica 20, no. 4 (2020): 10–18. http://dx.doi.org/10.15546/aeei-2020-0020.

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Object lifetimes are a common source of bugs in C++ that can cause crashes, unexpected behavior, or even security vulnerabilities. Herb Sutter, the chair of the C++ standard committee proposed a flow-sensitive analysis to catch lifetime errors statically. Sadly, this analysis is prone to false positives unless the author follows some specific guidelines. We developed mitigations to eliminate some classes of false positives to make it easier to write conforming code. The first mitigation fixes a common false positive from a frequently used coding pattern by introducing local path-sensitivity. T

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8

Kucherenko, D. Yu. "APPLICATION OF GLUTAMATE-SENSITIVE BIOSENSOR FOR ANALYSIS OF FOODSTUFF." Biotechnologia Acta 11, no. 4 (2018): 57–67. http://dx.doi.org/10.15407/biotech11.04.057.

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9

Yunanto, Muhamad, and Henny Medyawati. "Fiscal Policy and Monetary Policy: Sensitivity Analysis." International Journal of Trade, Economics and Finance 6, no. 2 (2015): 79–84. http://dx.doi.org/10.7763/ijtef.2015.v6.447.

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10

Dragičević, N., B. Karleuša, and N. Ožanić. "Erosion Potential Method (Gavrilović method) sensitivity analysis." Soil and Water Research 12, No. 1 (2017): 51–59. http://dx.doi.org/10.17221/27/2016-swr.

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In recent decades, various methods for erosion intensity and sediment production assessment have been developed. The necessity for better model performance has led to the more frequent application of the method sensitivity and uncertainty assessments in order to decrease errors that arise from the model concept and its main assumptions. The analysis presented in this paper refers to the application of the Gavrilović method (Erosion Potential Method), an empirical and semi-quantitative method that can estimate the amount of sediment production and sediment transport as well as the erosion inten

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11

Juhl, C. F. "A Context-Sensitive Liar." Analysis 57, no. 3 (1997): 202–4. http://dx.doi.org/10.1093/analys/57.3.202.

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12

Qichang An, Qichang An, Jingxu Zhang Jingxu Zhang, Fei Yang Fei Yang, and Hongchao Zhao Hongchao Zhao. "Normalized point source sensitivity analysis in GSSM prototype." Chinese Optics Letters 15, no. 11 (2017): 111202. http://dx.doi.org/10.3788/col201715.111202.

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13

Saulebekov, A. O. "MINIATURE HIGHLY SENSITIVE ELECTRON SPECTROMETER FOR THE ANALYSIS OF CORPUSCULAR FLUXES." Eurasian Physical Technical Journal 20, no. 2 (44) (2023): 112–17. http://dx.doi.org/10.31489/2023no2/112-117.

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The work is devoted to the theoretical development of miniature highly sensitive electron spectrometer for the analysis of the composition of corpuscular flows in a wide range of measured particle energies. The mirror type axially symmetric energy analyzerin the spectrometer is constructed on the basis of an electrostatic octupole-cylindrical field and has a long-focal-length distance. The focusing properties of the scheme have been calculated, and the luminosity and resolving power of the device have beenevaluated. As part of a set of equipment for spacecrafts, the proposed device will allow

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14

MacFarlane, J. "Knowledge laundering: testimony and sensitive invariantism." Analysis 65, no. 2 (2005): 132–38. http://dx.doi.org/10.1093/analys/65.2.132.

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15

Kavka, M., M. Mimra, and F. Kumhála. "Sensitivity analysis of key operating parameters of combine harvesters." Research in Agricultural Engineering 62, No. 3 (2016): 113–21. http://dx.doi.org/10.17221/48/2015-rae.

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The sensitivity analysis of key operating parameters on the average annual sub-profit in a group of three combine harvesters operating in companies providing agricultural services were analysed. Based on the results of the cost analysis, the following key operating parameters with the greatest influence on the costs were identified: the purchase price of the machine, the price of fuel, maintenance costs, personnel costs and annual performance. These parameters were used in the sensitivity analysis to investigate their effect on unit costs. Changing the above-mentioned parameters is calculated

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16

Liu, Zhe, Fenghe Tao, and Changzhi Jia. "Reliability Sensitivity Analysis of Vehicle Components and Architecture Optimization." International Journal of Materials, Mechanics and Manufacturing 5, no. 2 (2017): 106–12. http://dx.doi.org/10.18178/ijmmm.2017.5.2.299.

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17

Zhou, Peiyuan, and Jinling Wang. "Stochastic Ionosphere Models for Precise GNSS Positioning: Sensitivity Analysis." Journal of Global Positioning Systems 12, no. 1 (2013): 53–60. http://dx.doi.org/10.5081/jgps.12.1.53.

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18

Singh, Nidhi, R. P Singh, Devendra Verma, and P. S Rao. "Sensitivity Analysis of MEMS-based four Beam Vector Hydrophone." International Journal of Scientific Engineering and Research 4, no. 9 (2016): 26–30. https://doi.org/10.70729/ijser15950.

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19

Doyle, James D., Clark Amerault, and Carolyn A. Reynolds. "Sensitivity analysis of mountain waves using an adjoint model." Meteorologische Zeitschrift 16, no. 6 (2007): 607–20. http://dx.doi.org/10.1127/0941-2948/2007/0236.

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20

Koçak, Hüseyin, and Kenneth J. Palmer. "Lyapunov Exponents and Sensitive Dependence." Journal of Dynamics and Differential Equations 22, no. 3 (2010): 381–98. http://dx.doi.org/10.1007/s10884-010-9169-y.

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21

Liu, Yongsheng. "Sensitivity analysis and proportioning design of rock burst similar materials." Functional materials 24, no. 3 (2017): 005–500. http://dx.doi.org/10.15407/fm24.03.496.

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22

Dzantiev, B. B. "MODERN TECHNIQUES OF IMMUNOCHEMICAL ANALYSIS: INTEGRATION OF SENSITIVITY AND RAPIDITY." Biotechnologia Acta 6, no. 4 (2013): 94–104. http://dx.doi.org/10.15407/biotech6.04.094.

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23

Xue Zhipeng, 薛志鹏, 丛杉珊 Cong Shanshan, 孙美娇 Sun Meijiao, 张雷 Zhang Lei, 刘金全 Liu Jinquan та 于鑫 Yu Xin. "空间相机波像差灵敏度及集成仿真方法". Infrared and Laser Engineering 51, № 11 (2022): 20220109. http://dx.doi.org/10.3788/irla20220109.

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24

Koushik, Priyanka. "Data-Driven Simulation: Integrating Sensitivity Analysis into Supply Chain Optimization." International Journal of Science and Research (IJSR) 13, no. 5 (2024): 875–84. http://dx.doi.org/10.21275/sr24511175813.

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25

Li, Jie, and Tao Yu. "On mean sensitive tuples." Journal of Differential Equations 297 (October 2021): 175–200. http://dx.doi.org/10.1016/j.jde.2021.06.032.

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26

Kaushik, A. "Gender-sensitive analysis." British Dental Journal 233, no. 2 (2022): 69. http://dx.doi.org/10.1038/s41415-022-4510-5.

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27

Ibrahim, Abdulkareem Afolabi. "Stability and Sensitivity Analysis of Tumor-induceimmune Suppression with Time Delay." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (2020): 1321–31. http://dx.doi.org/10.5373/jardcs/v12sp7/20202232.

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28

Safiullina, L. F., I. M. Gubaydullin, K. F. Koledina, and R. Z. Zaynullin. "Sensitivity analysis of the mathematical model of catalytic reforming of gasoline." Computational Mathematics and Information Technologies 3, no. 2 (2019): 43–53. http://dx.doi.org/10.23947/2587-8999-2019-2-2-43-53.

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29

Pattanaik, Priyabrata. "An Analysis of Price Sensitivity of Smart Phone Purchase in India." Journal of Advanced Research in Dynamical and Control Systems 11, no. 10-SPECIAL ISSUE (2019): 359–63. http://dx.doi.org/10.5373/jardcs/v11sp10/20192813.

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30

Wang, Xuquan, Tianyang Feng, Yujie Xing, et al. "Edge accelerated reconstruction using sensitivity analysis for single-lens computational imaging." Advanced Imaging 2, no. 3 (2025): 031001. https://doi.org/10.3788/ai.2025.10003.

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31

Ramalingam, G. "Context-sensitive synchronization-sensitive analysis is undecidable." ACM Transactions on Programming Languages and Systems 22, no. 2 (2000): 416–30. http://dx.doi.org/10.1145/349214.349241.

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32

He, Lianfa, Xinhua Yan, and Lingshu Wang. "Weak-mixing implies sensitive dependence." Journal of Mathematical Analysis and Applications 299, no. 1 (2004): 300–304. http://dx.doi.org/10.1016/j.jmaa.2004.06.066.

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33

Park, Jae Kweon, Jio Song, Eung Take Lee, Ji Hyun Lee, and Hyun Lee. "Matrix Sensitivity and Interpretation for Precise Molecular Weight Analysis of Chitosan Hydrolysates." Journal of Chitin and Chitosan 27, no. 2 (2022): 94–103. http://dx.doi.org/10.17642/jcc.27.2.5.

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34

Rivera-Martínez, Mario Arturo, Geovanni Hernández-Galvez, Omar Sarracino-Martínez, et al. "Análisis de sensibilidad de sistemas fotovoltaicos conectados a la red eléctrica: Caso de estudio en Guerrero, México." Ingeniería, investigación y tecnología 18, no. 3 (2017): 293–305. http://dx.doi.org/10.22201/fi.25940732e.2017.18n3.026.

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35

Wongchanapai, Suranat, Hiroshi Iwai, Motohiro Saito, and Hideo Yoshida. "F124 Sensitivity Analysis of a Direct-Biogas SOFC-MGT Hybrid CHP System." Proceedings of the Thermal Engineering Conference 2012 (2012): 181–82. http://dx.doi.org/10.1299/jsmeted.2012.181.

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36

Mogha, SK, SP Yadav, and SP Singh. "Performance Evaluation of Indian Private Hospitals Using DEA Approach with Sensitivity Analysis." International Journal of Advances in Management and Economics 1, no. 2 (2012): 01–12. http://dx.doi.org/10.31270/ijame/01/02/2012/01.

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37

Cai, Hao, Xingtao Yu, Qian Chu, Zhiqiang Jin, Bo Lin, and Guanghui Wang. "Hollow-core fiber-based Raman probe extension kit for in situ and sensitive ultramicro-analysis." Chinese Optics Letters 17, no. 11 (2019): 110601. http://dx.doi.org/10.3788/col201917.110601.

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38

Lu, Jingbo, Dongjie He, and Jingling Xue. "Eagle." ACM Transactions on Software Engineering and Methodology 30, no. 4 (2021): 1–46. http://dx.doi.org/10.1145/3450492.

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Object sensitivity is widely used as a context abstraction for computing the points-to information context-sensitively for object-oriented programming languages such as Java. Due to the combinatorial explosion of contexts in large object-oriented programs, k -object-sensitive pointer analysis (under k -limiting), denoted k -obj , is often inefficient even when it is scalable for small values of k , where k ⩽ 2 holds typically. A recent popular approach for accelerating k -obj trades precision for efficiency by instructing k -obj to analyze only some methods in a program context-sensitively, de

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39

Jian-hong LIAO, 廖健宏, 张昂 Ang ZHANG, 王进起 Jin-qi WANG, 朱强 Qiang ZHU та 熊德智 De-zhi XIONG. "四通道超稳腔的振动分析及热分析". Acta Sinica Quantum Optica 27, № 2 (2021): 169. http://dx.doi.org/10.3788/jqo20212702.0901.

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40

Romero-Arismendi, Nestor, Pedro Martínez-Ortiz, José H. Espina-Hernández, and José Pérez-Benítez. "Análisis de la sensibilidad, respuesta de pequeña señal y respuesta dinámica de un sensor GMR." Científica 25, no. 2 (2021): 1–14. http://dx.doi.org/10.46842/ipn.cien.v25n2a01.

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En este trabajo se lleva a cabo el análisis de la sensibilidad de un sensor magnético, basado en el fenómeno de magnetorresistencia gigante (GMR), cuando se utiliza en la medición de campos magnéticos variantes en el tiempo en superposición con componentes estáticas. La característica de transferencia del sensor GMR se obtuvo experimentalmente midiendo el campo magnético generado por una bobina de Helmholtz. A partir de la característica de transferencia experimental se obtuvo computacionalmente la respuesta de sensibilidad del sensor GMR y posteriormente se validó experimentalmente. Se determ

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41

Majkrzak, Marcin. "Wpływ zmian wybranych parametrów pokładu węgla kamiennego na przebieg i efektywność procesu eksploatacji metanu." Nafta-Gaz 75, no. 5 (2019): 254–64. http://dx.doi.org/10.18668/ng.2019.05.03.

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42

Kim. "Sensitivity analysis of tunnel stability with a consideration of an excavation damaged zone." Journal of Korean Tunnelling and Underground Space Associa 16, no. 1 (2014): 091. http://dx.doi.org/10.9711/ktaj.2014.16.1.091.

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43

Yu Miao, 余苗, 傅頔 Fu Di, 张强 Zhang Qiang та ін. "基于阵列法布里-珀罗干涉仪温室气体探测系统灵敏度分析". Acta Optica Sinica 44, № 24 (2024): 2412003. https://doi.org/10.3788/aos240833.

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44

Sun Yiqiang, 孙一强, 朱檀枭 Zhu Tanxiao, 牛青林 Niu Qinglin, 贺志宏 He Zhihong та 董士奎 Dong Shikui. "液体火箭发动机喷焰红外辐射信号灵敏度分析". Acta Optica Sinica 45, № 1 (2025): 0112005. https://doi.org/10.3788/aos240792.

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45

Karki, Ashok, Santosh Bhattarai, Pradhumna Joshi, Mukesh Kafle, and Rajesh Bhattarai. "DAM BREACH ANALYSIS AND PARAMETER SENSITIVITY ANALYSIS ALONG A RIVER REACH USING HECRAS." Stavební obzor - Civil Engineering Journal 31, no. 4 (2022): 571–85. http://dx.doi.org/10.14311/cej.2022.04.0043.

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A dam break is a low-probability, high risk catastrophe event that is extremely destructive and has a substantial negative socio-economic impact on downstream and nearby areas. Simulating dam breach and analyzing flood propagation downstream from those events is vital for identifying and minimizing the risks associated downstream of dam location. This study is intended to anlayse the effect of overtopping failure of dam for two scenario (a) base-case scenario (scenario with average value of dam breach parameters from their range) and (b) worst case scenario (the breach with largest geometry, s

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46

Jovanovic-Dolecek, Gordana, and Sanjit Mitra. "Symbolic sensitivity analysis of the newsecond-order iir structure." Ingeniería, investigación y tecnología 9, no. 1 (2008): 59–65. http://dx.doi.org/10.22201/fi.25940732e.2008.09n1.005.

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47

G Hamlet, C., S. M Jayaratne, and P. A Sadd. "Rapid, sensitive and selective analysis of acrylamide in cereal products using bromination and GC/MS/MS." Czech Journal of Food Sciences 22, SI - Chem. Reactions in Foods V (2004): S290—S293. http://dx.doi.org/10.17221/10684-cjfs.

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A rapid and sensitive method has been developed and validated for the analysis of acrylamide in cereal products. A kinetic study showed that a quantitative bromination of acrylamide in cereal extracts could be achieved within 25 min at room temperature. By using GC/MS/MS an increase in signal to noise of between 70 to 100 could be achieved for samples with minimal clean up compared to conventional selected ion monitoring. Results obtained from the analysis of a FAPAS cereal test material showed good agreement with the assigned value.

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48

Xu jingjiang, 许景江, 张轶星 Zhang Yixing, 蓝公仆 Lan Gongpu та ін. "基于光纤型偏振敏感光学相干层析成像的猪皮烧伤多参量成像分析". Chinese Journal of Lasers 51, № 3 (2024): 0307110. http://dx.doi.org/10.3788/cjl231061.

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49

Agarwal, Ravi P., Jewgeni H. Dshalalow, and Donal O'Regan. "Time sensitive functionals of marked Cox processes." Journal of Mathematical Analysis and Applications 293, no. 1 (2004): 14–27. http://dx.doi.org/10.1016/j.jmaa.2003.12.030.

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50

Vollmer, J., J. Peinke, and A. Okniński. "Dweiltime Analysis of Symmetry-Breaking Dynamical Systems." Zeitschrift für Naturforschung A 50, no. 12 (1995): 1117–22. http://dx.doi.org/10.1515/zna-1995-1209.

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Abstract Dweiltime analysis is known to characterize saddles giving rise to chaotic scattering. In the present paper it is used to characterize the dependence on initial conditions of the attractor approached by a trajectory in dissipative systems described by one-dimensional, noninvertible mappings which show symmetry breaking. There may be symmetry-related attractors in these systems, and which attractor is approached may depend sensitively on the initial conditions. Dwell-time analysis is useful in this context because it allows to visualize in another way the repellers on the basin boundar

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