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Journal articles on the topic 'Rate of change'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Ma, Minyoung, and Dongkyu Lim. "Two Middle School Students’ Understanding of ‘Constant Rate of Change’ and ‘Constant Rate of Change of Rate of Change’." School Mathematics 21, no. 3 (September 30, 2019): 607–24. http://dx.doi.org/10.29275/sm.2019.09.21.3.607.

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2

Eyton, Ronald J. "Rate-of-Change Maps." Cartography and Geographic Information Systems 18, no. 2 (January 1991): 87–103. http://dx.doi.org/10.1559/152304091783805518.

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3

Lawson, David M. "Reframing Family Change Rate." Journal of Family Psychotherapy 2, no. 2 (June 17, 1991): 75–87. http://dx.doi.org/10.1300/j085v02n02_06.

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4

Ammons, A. R. "The Time Rate of Change." Hudson Review 40, no. 2 (1987): 291. http://dx.doi.org/10.2307/3851103.

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5

Larsson, Henrik, and Magnus Jansson. "Rate of change at equilibrium." Calphad 51 (December 2015): 220–23. http://dx.doi.org/10.1016/j.calphad.2015.10.002.

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6

Pan, D., and M. W. Chen. "Rate-change instrumented indentation for measuring strain rate sensitivity." Journal of Materials Research 24, no. 4 (April 2009): 1466–70. http://dx.doi.org/10.1557/jmr.2009.0168.

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A rate-change instrumented indentation method is introduced to experimentally characterize the strain rate sensitivity of high strength materials, such as metallic glasses and nanocrystalline metals, which generally possess low rate sensitivity at room temperature. This technique has been validated herein, via self-consistency between rate jump and rate drop measurements, as a viable way to characterize rate dependent deformation behavior and thereby the underlying micromechanisms of plastic flow.

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7

Mester, Loretta J., and Anthony Saunders. "When does the prime rate change?" Journal of Banking & Finance 19, no. 5 (August 1995): 743–64. http://dx.doi.org/10.1016/0378-4266(94)00090-p.

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8

Marin, Dalia. "Structural change through exchange rate policy." Weltwirtschaftliches Archiv 121, no. 3 (September 1985): 471–91. http://dx.doi.org/10.1007/bf02708185.

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9

Hirata, K., S. Tada, Y. Tsunashima, and S. Katayama. "Heart rate change preceding voluntary movement." Electroencephalography and Clinical Neurophysiology 61, no. 3 (September 1985): S104. http://dx.doi.org/10.1016/0013-4694(85)90415-8.

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10

Hirose, Munetaka, Teiji Sawa, Satoru Hashimoto, Takashi Natsuyama, Eiichi Chihara, Takashi Kinoshita, and Yoshifumi Tanaka. "Respiratory rate change during balloon valvuloplasty." Journal of Anesthesia 7, no. 3 (July 1993): 380–84. http://dx.doi.org/10.1007/s0054030070380.

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11

Hay, William W. "The accelerating rate of global change." Rendiconti Lincei 25, no. 1 (January 29, 2014): 29–48. http://dx.doi.org/10.1007/s12210-014-0287-z.

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12

Poehlman, E. T., and E. Danforth. "Endurance training increases metabolic rate and norepinephrine appearance rate in older individuals." American Journal of Physiology-Endocrinology and Metabolism 261, no. 2 (August 1, 1991): E233—E239. http://dx.doi.org/10.1152/ajpendo.1991.261.2.e233.

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We examined the effects of an 8-wk endurance training program (cycling exercise) on resting metabolic rate (RMR) and norepinephrine (NE) kinetics in 19 older persons (64 +/- 1.6 yr). Before and after training, RMR, NE kinetics, maximal O2 consumption (VO2max), body composition, supine blood pressure, estimated energy intake, and fasting levels of glucose, insulin, and thyroid hormones were measured. RMR increased 10% after training. Resting concentrations of NE increased 24% after training due to a 21% increase in NE appearance rate and no change in NE clearance. Training increased VO2max (14%; P less than 0.01) and energy intake (12%; P less than 0.01), whereas no change was noted in body composition. Supine blood pressure and plasma glucose were lower after training, whereas no change was noted in fasting levels of plasma insulin. The increase in RMR was associated with a higher rate of NE appearance (r = 0.57; P = 0.05) and with increase in energy intake (r = 0.56; P = 0.05). Together these two factors accounted for 49% (r2) of the variation of the change in RMR. Changes in blood pressure were not associated with changes in NE kinetics. We conclude that endurance training increases total energy expenditure in older individuals by the direct energy cost of physical activity and by elevating RMR. This increase is partially mediated by an increased NE appearance rate and increased food intake in healthy older individuals.

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13

Hwan Na, Myung, Jongwoo Jeon, and Dong Ho Park. "Testing whether failure rate changes its trend with unknown change points." Journal of Statistical Planning and Inference 129, no. 1-2 (February 2005): 317–25. http://dx.doi.org/10.1016/j.jspi.2004.06.055.

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14

You, Byung-sun, Kyu-hyoung Jeong, and Heeran J. Cho. "Regional Suicide Rate Change Patterns in Korea." International Journal of Environmental Research and Public Health 17, no. 19 (September 24, 2020): 6973. http://dx.doi.org/10.3390/ijerph17196973.

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Background: Korea had the highest suicide rate among OECD countries for the 10 years leading up to 2016; however, the suicide rate in Korea has declined since 2010, after policy-driven interventions were implemented. Methods: Suicide rates from all of the 229 cities, counties, and districts in Korea were reliably estimated from the period 2010 to 2017, and data were examined by Stata 14.0 and M-plus to identify regional suicide rate change patterns by latent growth modeling. The dependent variable is the suicide rate, and independent variables as characteristics of the various districts are the region (cities, counties, and autonomous districts), proportion of elderly residents, financial independence rate, establishment of mental health and welfare centers, and number of social welfare facilities. Results: Three suicide rate change patterns were identified: ‘average’, ‘precipitous drop’, and ‘high level’. Two of the three patterns exhibit features that are markedly different to the national data as a whole, and the three patterns appear across the 229 cities, counties, and districts of Korea. Some of the determinant factors have been postulated here. While a high proportion of elderly residents in a given area is a significant indicator that the suicide rate will increase, having a large elderly population in combination with an increased number of social welfare facilities centers appeared to show a discrete pattern of suicide rate reduction when compared with average national data. Conclusions: Policy-driven interventions should be planned and implemented by central and local governments in conjunction, by considering regional characteristics to decrease local suicide rates more effectively.

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15

Suh, Jennifer, and Kerri Fulginiti. "Using Technology to Understand Rate of Change." Teaching Children Mathematics 18, no. 1 (August 2011): 56–58. http://dx.doi.org/10.5951/teacchilmath.18.1.0056.

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The following series of learning activities are from an afterschool math club called Go Go Gizmos that focuses on modeling mathematics with the use of technologies. This account describes how a classroom teacher and a math educator taught and assessed students' understanding of the rate of change using a variety of technologies. In particular, we chose data collection probeware called Go!Motion, which is a stand-alone motion-data-collection device from Vernier that sends data to the computer for analysis and simulation applets from http://explorelearning.com. The Go!Motion device can be connected to a computer and displays an interactive real-time spreadsheet with graphing capabilities. The objectives in the unit were for students to investigate physical representations of slope as a rate of change in mathematics and as velocity in science and the y-intercept as the initial condition, or starting position. In these investigations, students and teachers become partners in developing mathematical ideas and solving math problems (NCTM 2000).

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16

Chong, Terence Tai-Leung, Ka Wai Leung, and Ho Yin Yuen. "Is the Rate-of-Change Oscillator Profitable?" Journal of Investing 20, no. 3 (August 31, 2011): 72–74. http://dx.doi.org/10.3905/joi.2011.20.3.072.

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17

Williams, Donald R. "Structural Change and the Aggregate Poverty Rate." Demography 28, no. 2 (May 1991): 323. http://dx.doi.org/10.2307/2061283.

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18

DWIVEDI, V., N. MISHRA, S. SEN, and B. JHA. "Transient yielding in strain rate change tests." Scripta Materialia 36, no. 12 (June 15, 1997): 1373–76. http://dx.doi.org/10.1016/s1359-6462(97)00044-4.

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19

Nettle, Daniel. "Is the rate of linguistic change constant?" Lingua 108, no. 2-3 (June 1999): 119–36. http://dx.doi.org/10.1016/s0024-3841(98)00047-3.

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20

Demery, David, and Nigel W. Duck. "Demographic change and the UK savings rate." Applied Economics 38, no. 2 (February 10, 2006): 119–36. http://dx.doi.org/10.1080/00036840500390361.

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21

Giannetti, F., M. Luise, and R. Reggiannini. "Simple carrier frequency rate-of-change estimators." IEEE Transactions on Communications 47, no. 9 (1999): 1310–14. http://dx.doi.org/10.1109/26.789666.

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22

OHSAWA, Yoshiaki, Tatsumi ONODA, and Takafumi KOBAYASHI. "AGGREGATION ERRORS IN COHORT-CHANGE RATE METHOD." Journal of Architecture and Planning (Transactions of AIJ) 73, no. 634 (2008): 2605–12. http://dx.doi.org/10.3130/aija.73.2605.

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23

Gunby, Phil. "No Change Indicated in Traffic Fatality Rate." JAMA: The Journal of the American Medical Association 258, no. 6 (August 14, 1987): 744. http://dx.doi.org/10.1001/jama.1987.03400060016005.

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24

Gunby, P. "No change indicated in traffic fatality rate." JAMA: The Journal of the American Medical Association 258, no. 6 (August 14, 1987): 744. http://dx.doi.org/10.1001/jama.258.6.744.

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25

Kasai, Takeshi. "Quantitative rate equations for change of phase." Chemical Engineering & Technology 16, no. 2 (April 1993): 130–46. http://dx.doi.org/10.1002/ceat.270160211.

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26

KAWASHIMA, SHYUICH, HIROMI HASHIZUME, HIDEO ISHIMASA, and TOMOKO IKADA. "Prescription Change Rate on Clinical Pharmacy Services." Japanese Journal of Hospital Pharmacy 22, no. 5 (1996): 509–14. http://dx.doi.org/10.5649/jjphcs1975.22.509.

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27

Beyer, Robert T. "Notice on change in page charge rate." Journal of the Acoustical Society of America 77, no. 1 (January 1985): 319. http://dx.doi.org/10.1121/1.392232.

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28

LOADER, CLIVE R. "Inference for a hazard rate change point." Biometrika 78, no. 4 (1991): 749–57. http://dx.doi.org/10.1093/biomet/78.4.749.

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29

Herbert, Sandra, and Robyn Pierce. "An ‘Emergent Model’ for Rate of Change." International Journal of Computers for Mathematical Learning 13, no. 3 (November 25, 2008): 231–49. http://dx.doi.org/10.1007/s10758-008-9140-8.

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30

Garshelis, Ivan J., Ryan J. Kari, and Stijn P. L. Tollens. "A Rate of Change of Torque Sensor." IEEE Transactions on Magnetics 43, no. 6 (June 2007): 2388–90. http://dx.doi.org/10.1109/tmag.2007.893643.

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31

Krawiec, Michał, and Zbigniew Palmowski. "DRIFT CHANGE DETECTION IN MORTALITY RATE MODELS." Śląski Przegląd Statystyczny, no. 15 (2016): 147–67. http://dx.doi.org/10.15611/sps.2017.15.07.

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32

Yu, Marco K. W. "The social discount rate on climate change." Property Management 24, no. 2 (March 2006): 144–61. http://dx.doi.org/10.1108/02637470610658023.

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33

Hauger, Garnet S. "Instantaneous rate of change: a numerical approach." International Journal of Mathematical Education in Science and Technology 31, no. 6 (November 2000): 891–97. http://dx.doi.org/10.1080/00207390050203379.

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34

Kliman, Andrew J. "The Profit Rate Under Continuous Technological Change." Review of Radical Political Economics 20, no. 2-3 (June 1988): 283–89. http://dx.doi.org/10.1177/048661348802000243.

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35

Sikdar, A. K., A. Ray, P. Das, S. Pathak, and J. Datt. "Change of 7Be decay rate under compression." Journal of Physics: Conference Series 1643 (December 2020): 012063. http://dx.doi.org/10.1088/1742-6596/1643/1/012063.

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36

Pan, Jun, Mi Wang, Junli Li, Shenggu Yuan, and Fen Hu. "Region change rate-driven seamline determination method." ISPRS Journal of Photogrammetry and Remote Sensing 105 (July 2015): 141–54. http://dx.doi.org/10.1016/j.isprsjprs.2015.04.004.

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37

Sudarsanam, Nandan, Nishanth Kumar, Abhishek Sharma, and Balaraman Ravindran. "Rate of change analysis for interestingness measures." Knowledge and Information Systems 62, no. 1 (March 20, 2019): 239–58. http://dx.doi.org/10.1007/s10115-019-01352-3.

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38

Kotlyar, V. Yu. "Relative rate of change of a function." Cybernetics and Systems Analysis 35, no. 4 (July 1999): 653–57. http://dx.doi.org/10.1007/bf02835861.

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39

Crone, Eveline A., J. Richard Jennings, and Maurits W. Van der Molen. "Developmental Change in Feedback Processing as Reflected by Phasic Heart Rate Changes." Developmental Psychology 40, no. 6 (2004): 1228–38. http://dx.doi.org/10.1037/0012-1649.40.6.1228.

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40

Yoshizawa, Muneharu, and Hiroaki Ohsawa. "Correlation between Tensile Ductility and Rate of Change of Strain Rate in Rate-Dependent Materials." Transactions of the Japan Society of Mechanical Engineers Series A 60, no. 575 (1994): 1597–603. http://dx.doi.org/10.1299/kikaia.60.1597.

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41

van Aalst, Robertus, Edward Thommes, Maarten Postma, Ayman Chit, and Issa J. Dahabreh. "On the Causal Interpretation of Rate-Change Methods: The Prior Event Rate Ratio and Rate Difference." American Journal of Epidemiology 190, no. 1 (June 29, 2020): 142–49. http://dx.doi.org/10.1093/aje/kwaa122.

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Abstract A growing number of studies use data before and after treatment initiation in groups exposed to different treatment strategies to estimate “causal effects” using a ratio measure called the prior event rate ratio (PERR). Here, we offer a causal interpretation for PERR and its additive scale analog, the prior event rate difference (PERD). We show that causal interpretation of these measures requires untestable rate-change assumptions about the relationship between 1) the change of the counterfactual rate before and after treatment initiation in the treated group under hypothetical intervention to implement the control strategy; and 2) the change of the factual rate before and after treatment initiation in the control group. The rate-change assumption is on the multiplicative scale for PERR but on the additive scale for PERD; the 2 assumptions hold simultaneously under testable, but unlikely, conditions. Even if investigators can pick the most appropriate scale, the relevant rate-change assumption might not hold exactly, so we describe sensitivity analysis methods to examine how assumption violations of different magnitudes would affect study results. We illustrate the methods using data from a published study of proton pump inhibitors and pneumonia.

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42

Shahan, Timothy A., and Christopher A. Podlesnik. "RATE OF CONDITIONED REINFORCEMENT AFFECTS OBSERVING RATE BUT NOT RESISTANCE TO CHANGE." Journal of the Experimental Analysis of Behavior 84, no. 1 (July 2005): 1–17. http://dx.doi.org/10.1901/jeab.2005.83-04.

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43

Middleton, Charles. "The rate of learning must be greater than the rate of change." Industrial and Commercial Training 35, no. 7 (December 2003): 306–8. http://dx.doi.org/10.1108/00197850310508689.

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44

Kuo, Chen-Ming, Keith R. Forbes, Shefford P. Baker, and William D. Nix. "On the question of strain rate continuity in stress rate change experiments." Scripta Metallurgica et Materialia 24, no. 9 (September 1990): 1623–28. http://dx.doi.org/10.1016/0956-716x(90)90517-k.

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45

Dunham, D. P., and J. C. Gibeling. "Strain rate continuity in 304 stainless steel during stress rate change tests." Acta Metallurgica 37, no. 10 (October 1989): 2651–58. http://dx.doi.org/10.1016/0001-6160(89)90298-8.

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46

Wen, Fur-Hsing, Ching-Fang Lee, Chen-Ju Lin, and Hsien-Ming Lin. "Total gestational weight change and rate of change in pregnant Taiwanese women." Taiwanese Journal of Obstetrics and Gynecology 58, no. 2 (March 2019): 196–200. http://dx.doi.org/10.1016/j.tjog.2019.01.005.

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47

Kong, Qiaoling, Jie Ma, and Chidong Che. "Theoretical and experimental study of volumetric change rate during phase change process." International Journal of Energy Research 33, no. 5 (April 2009): 513–25. http://dx.doi.org/10.1002/er.1498.

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48

Iedynak, G. A., L. L. Galamandjuk, A. O. Bodnar, S. M. Babiuk, M. O. Chistyakova, and S. M. Potapchuk. "Rate of change in morphofunctional indicators of girls with cerebral palsy over 7-17 years." Pedagogical and social aspects of physical education and physical therapy, no. 1 (March 5, 2019): 66–80. http://dx.doi.org/10.32626/pasaopeapt.2019.66-80.

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49

Im, Jiyeol, and Kyungik Gil. "Change of Ammonium Nitrogen Removal Rate and Nitrite Conversion Rate according to Change of Retention Time using Recycle Water." Korean Society of Hazard Mitigation 16, no. 5 (August 30, 2016): 369–77. http://dx.doi.org/10.9798/kosham.2016.16.5.369.

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50

Aldin, Bahaa. "The Association between changes in C reactive protein and pregnancy rate in IVF/ICSI." Women Health Care and Issues 4, no. 2 (April 9, 2021): 01–08. http://dx.doi.org/10.31579/2642-9756/047.

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Objectives: The aim of this study is to evaluate the association between changes in C reactive protein and pregnancy rate in IVF/ICSI. Patients and methods: A prospective cohort study that was conducted in Ain Shams University Maternity Hospital, Infertility Clinic during period time from September 2018 to September 2020. A total of 100 infertile women who were candidate for IVF/ICSI, over a period of 2 years, beginning in September 2018 were recruited to the study after they met the inclusion and exclusion criteria. The participants gave written informed consent and approval for the ethical aspects of the study. Results: This study showed no statistically significant differences according to clinical pregnancy regarding the sociodemographic data as BMI, duration of infertility and type of infertility and regarding Oocyte retrieval and embryo transfer, also no significant differences according to clinical pregnancy regarding CRP at baseline and at Oocyte pickup as well as CRP change at oocyte pickup. But age was significantly lower in cases with clinical pregnancy and CRP at embryo transfer and CRP change at embryo transfer were significantly higher in cases with positive pregnancy. Conclusion: Finally, we concluded that patients whose CRP level decreased on transfer day, had lower chance of pregnancy, whereas patients whose CRP level elevated on embryo transfer day had high chance of pregnancy

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