Journal articles on the topic 'Strict control'

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1

Simpson, S. J. "EVOLUTION: Under Strict Control." Science 319, no. 5866 (February 22, 2008): 1011a. http://dx.doi.org/10.1126/science.319.5866.1011a.

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2

Marwick, Charles. "Thalidomide Back—Under Strict Control." JAMA: The Journal of the American Medical Association 278, no. 14 (October 8, 1997): 1135. http://dx.doi.org/10.1001/jama.1997.03550140025013.

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3

Marwick, C. "Thalidomide back--under strict control." JAMA: The Journal of the American Medical Association 278, no. 14 (October 8, 1997): 1135–37. http://dx.doi.org/10.1001/jama.278.14.1135.

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4

White, John R., R. Keith Campbell, and Irl B. Hirsch. "Novel insulins and strict glycemic control." Postgraduate Medicine 113, no. 6 (June 2003): 30–36. http://dx.doi.org/10.3810/pgm.2003.06.1426.

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5

Webster, N. R., and H. F. Galley. "Does strict glucose control improve outcome?" British Journal of Anaesthesia 103, no. 3 (September 2009): 331–34. http://dx.doi.org/10.1093/bja/aep226.

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6

Turina, Matthias, Mirjam Christ-Crain, and Hiram C. Polk. "Diabetes and hyperglycemia: Strict glycemic control." Critical Care Medicine 34, Suppl (September 2006): S291—S300. http://dx.doi.org/10.1097/01.ccm.0000231887.84751.04.

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7

Quatraro, Antonio. "STRICT METABOLIC CONTROL AND DIABETIC NEPHROPATHY." Lancet 329, no. 8529 (February 1987): 394. http://dx.doi.org/10.1016/s0140-6736(87)91780-6.

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8

King, Alexandra. "Strict rate control unnecessary in AF?" Nature Reviews Cardiology 8, no. 11 (September 6, 2011): 608. http://dx.doi.org/10.1038/nrcardio.2011.136.

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9

Liang, Zhenglun, Qunying Mao, and Junzhi Wang. "Strict vaccine quality control in China." Nature 509, no. 7501 (May 2014): 427. http://dx.doi.org/10.1038/509427c.

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10

&NA;. "Strict control of antimicrobial use decreases costs." Inpharma Weekly &NA;, no. 997 (July 1995): 6. http://dx.doi.org/10.2165/00128413-199509970-00009.

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11

DELMEZ, JAMES A., MICHAEL D. FALLON, HERSCHEL R. HARTER, KEITH A. HRUSKA, EDUARDO SLATOPOLSKY, and STEVEN L. TEITELBAUM. "Does Strict Phosphorus Control Precipitate Renal Osteomalacia*." Journal of Clinical Endocrinology & Metabolism 62, no. 4 (April 1986): 747–52. http://dx.doi.org/10.1210/jcem-62-4-747.

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12

Krstic, Miroslav, and Matt Bement. "Nonovershooting Control of Strict-Feedback Nonlinear Systems." IEEE Transactions on Automatic Control 51, no. 12 (December 2006): 1938–43. http://dx.doi.org/10.1109/tac.2006.886518.

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13

Watkinson, Peter, Vicki S. Barber, and J. Duncan Young. "Strict glucose control in the critically ill." BMJ 332, no. 7546 (April 13, 2006): 865–66. http://dx.doi.org/10.1136/bmj.332.7546.865.

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14

Padkin, Andrew. "Strict glucose control: Where are we now?" Resuscitation 74, no. 1 (July 2007): 194–96. http://dx.doi.org/10.1016/j.resuscitation.2007.04.017.

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15

Jones, William E. "Strict control of extra label drug use." Journal of Equine Veterinary Science 16, no. 6 (June 1996): 229–39. http://dx.doi.org/10.1016/s0737-0806(96)80186-9.

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16

Leipold, Heinz, Christof Worda, Jens Schwindt, Alexandra Kautzky-Willer, Dagmar Bancher-Todesca, and Peter W. Husslein. "Severe diabetic fetopathy despite strict metabolic control." Wiener klinische Wochenschrift 117, no. 15-16 (August 2005): 561–64. http://dx.doi.org/10.1007/s00508-005-0412-1.

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17

Tezuka, Issei, and Hisakazu Nakamura. "Strict Zeroing Control Barrier Function for Continuous Safety Assist Control." IEEE Control Systems Letters 6 (2022): 2108–13. http://dx.doi.org/10.1109/lcsys.2021.3138526.

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18

Chen, Weitian, Shitian Yan, Shaosheng Zhou, and Songjiao Shi. "Adaptive control of parametric-strict-feedback systems with reduced control effort." IFAC Proceedings Volumes 32, no. 2 (July 1999): 4588–93. http://dx.doi.org/10.1016/s1474-6670(17)56782-8.

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19

Novashok, D. O. "STRICT AND EFFECTIVE CONTROL TESTS IN INTERNATIONAL LAW." Actual problems of native jurisprudence, no. 1 (2022): 222–27. http://dx.doi.org/10.32782/392268.

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20

Seiler, Peter, and Andrew Alleyne. "Dissipative Adaptive Control for Strict Feedback Form Systems." European Journal of Control 8, no. 5 (January 2002): 435–44. http://dx.doi.org/10.3166/ejc.8.435-444.

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21

de Borst, Martin H., and Gerjan Navis. "Risks of strict glycaemic control in diabetic nephropathy." Nature Reviews Nephrology 11, no. 1 (November 4, 2014): 5–6. http://dx.doi.org/10.1038/nrneph.2014.209.

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22

Hanssen, Kristian F., Knut Dahl-Jørgensen, Olaf Brinchmann-Hansen, and _. _. "The influence of strict control on diabetic complications." Acta Endocrinologica 110, no. 4_Suppl (December 1985): S57—S60. http://dx.doi.org/10.1530/acta.0.110s057.

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Abstract. We studied 45 IDDM without c-peptide response, duration 7-22 years, without proliferative retinopathy. After 2 months run-in period, they were randomly assigned to: (P) 15 received CSII: (C) 15 received muliple s.c. injections via butterfly 5-6x daily;: (M) 15 received twice daily mixed rapid and long acting insulin. All groups improved blood glucose control in the run-in period (p<0.0001). After change of treatment (P) and (M) improved further (p<0.01) but (C) was unchanged. GFR was supranormal and decreased in (P) and (M). No regression of retinopathy was shown in any group. One in (P) had transient florid pre-proliferative retinopathy which regressed spontaneously without laser treatment. We conclude that retinal response to strict control is complex. A transient deterioration may been seen.
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23

Santibáñez, Victor, and Rafael Kelly. "Strict Lyapunov functions for control of robot manipulators." Automatica 33, no. 4 (April 1997): 675–82. http://dx.doi.org/10.1016/s0005-1098(96)00194-x.

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24

Joob, Beuy, and Viroj Wiwanitkit. "Roadblocks and COVID-19: Hope and Strict Control." Disaster Medicine and Public Health Preparedness 14, no. 3 (June 2020): e33-e33. http://dx.doi.org/10.1017/dmp.2020.208.

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25

Mizumoto, Ikuro, Ratna Bhushan Gopaluni, Sirish L. Shah, and Zenta Iwai. "ROBUST ADAPTIVE CONTROL FOR STRICT-FEEDBACK NONLINEAR SYSTEMS." Asian Journal of Control 7, no. 3 (October 22, 2008): 231–43. http://dx.doi.org/10.1111/j.1934-6093.2005.tb00233.x.

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26

Rehm, Jürgen, and Bundit Sornpaisarn. "Canada’s Cannabis Legalization with Strict Public Health Control." SUCHT 69, no. 1 (February 1, 2023): 15–18. http://dx.doi.org/10.1024/0939-5911/a000801.

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Abstract: Aims: To describe the impact of the legalization of cannabis for recreational use under strict public health control in 2018 on the following outcomes: cannabis use and use patterns, attributable harm, economic considerations. Methodology: Narrative review based on government documents, surveys, and published literature. Results: The 12-month prevalence increased after legalization and has decreased during the COVID-19 pandemic. Little change in prevalence for adolescents. Persons with daily use remained stable. No rigorous studies on changes in attributable health harm, but some indication that harm, as measured in prevalence of cannabis use disorders, treatment rate, and attributable traffic injury remained stable. No data yet available for cancer. Cannabis attributable emergency visits increased, including among children (poisoning). Cannabis-related offences decreased as biggest public health gain. Economic predictions were not realized, and there is some pressure from cannabis industry to loosen public health regulations in order to increase use. Conclusions: Overall, while not achieving its main objectives of more youth protection and decreases in cannabis-attributable health harm, legalization with strict public health control resulted in less cannabis-related offences and up to now did not seem to increase cannabis-attributable disease burden.
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27

Wyse, D. George. "Lenient Versus Strict Rate Control in Atrial Fibrillation." Journal of the American College of Cardiology 58, no. 9 (August 2011): 950–52. http://dx.doi.org/10.1016/j.jacc.2011.04.028.

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28

Bahlali, Khaled, Meriem Mezerdi, and Brahim Mezerdi. "On the relaxed mean-field stochastic control problem." Stochastics and Dynamics 18, no. 03 (May 18, 2018): 1850024. http://dx.doi.org/10.1142/s0219493718500247.

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This paper is concerned with optimal control problems for systems governed by mean-field stochastic differential equation, in which the control enters both the drift and the diffusion coefficient. We prove that the relaxed state process, associated with measure valued controls, is governed by an orthogonal martingale measure rather than a Brownian motion. In particular, we show by a counter example that replacing the drift and diffusion coefficient by their relaxed counterparts does not define a true relaxed control problem. We establish the existence of an optimal relaxed control, which can be approximated by a sequence of strict controls. Moreover, under some convexity conditions, we show that the optimal control is realized by a strict control.
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29

Zhang, Jin-Xi, and Guang-Hong Yang. "Low-Complexity Tracking Control of Strict-Feedback Systems With Unknown Control Directions." IEEE Transactions on Automatic Control 64, no. 12 (December 2019): 5175–82. http://dx.doi.org/10.1109/tac.2019.2910738.

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30

Becerril, Jorge A., Karla L. Cortez, and Javier F. Rosenblueth. "Uniqueness of multipliers in optimal control: the missing piece." IMA Journal of Mathematical Control and Information 36, no. 4 (September 5, 2018): 1395–411. http://dx.doi.org/10.1093/imamci/dny033.

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Abstract In a well-known paper by Kyparisis it is proved that, in nonlinear programming, the uniqueness of Lagrange multipliers is equivalent to a strict version of the Mangasarian–Fromovitz constraint qualification which, in turn, implies the satisfaction of second-order necessary optimality conditions. This is no longer the case in optimal control where, as shown in a recent paper, the corresponding strict constraint qualification is only sufficient for the uniqueness of multipliers. In this paper we exhibit the missing piece: a new, simple condition, implied by the strict constraint qualification, which is necessary and sufficient for the uniqueness of multipliers in optimal control.
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31

Ye, Hefu, and Yongduan Song. "Prescribed‐time control of uncertain strict‐feedback‐like systems." International Journal of Robust and Nonlinear Control 31, no. 11 (May 11, 2021): 5281–97. http://dx.doi.org/10.1002/rnc.5541.

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32

Barbero-Liñán, María, and Miguel C. Muñoz-Lecanda. "Strict abnormal extremals in nonholonomic and kinematic control systems." Discrete & Continuous Dynamical Systems - S 3, no. 1 (2010): 1–17. http://dx.doi.org/10.3934/dcdss.2010.3.1.

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33

Harno, Hendra G., and Ian R. Petersen. "Strict Bounded Real Decentralized Coherent Quantum Robust H∞ Control." IFAC Proceedings Volumes 44, no. 1 (January 2011): 2692–98. http://dx.doi.org/10.3182/20110828-6-it-1002.01258.

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34

Akishita, Masahiro. "Strict vs. mild blood pressure control in the elderly." Hypertension Research 33, no. 11 (September 9, 2010): 1102–3. http://dx.doi.org/10.1038/hr.2010.160.

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35

唐, 丽. "Constrained Control for Strict Feedback Systems with Input Saturation." Modeling and Simulation 08, no. 03 (2019): 102–16. http://dx.doi.org/10.12677/mos.2019.83013.

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36

Beishuizen, Albertus, and A. B. Johan Groeneveld. "Implementing strict glucose control: It is not that simple …*." Critical Care Medicine 34, no. 12 (December 2006): 3050–51. http://dx.doi.org/10.1097/01.ccm.0000248903.86990.4e.

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37

FUJISAKI, Yasumasa, and Tomohiro YOSHIKAWA. "A Strict LMI Condition for Strictly Positive Real Control." Transactions of the Institute of Systems, Control and Information Engineers 15, no. 11 (2002): 624–26. http://dx.doi.org/10.5687/iscie.15.624.

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38

Polushin, Ilya G., David J. Hill, and Alexander L. Fradkov. "Strict Quasipassivity and Ultimate Boundedness for Nonlinear Control Systems." IFAC Proceedings Volumes 31, no. 17 (July 1998): 505–10. http://dx.doi.org/10.1016/s1474-6670(17)40387-9.

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39

German, MichaelS, JohnH Karam, Bo Feldt-Rasmussen, E. R. Mathiesen, and T. Deckert. "STRICT METABOLIC CONTROL AND PROGRESSION OF INCIPIENT DIABETIC NEPHROPATHY." Lancet 329, no. 8538 (April 1987): 922. http://dx.doi.org/10.1016/s0140-6736(87)92898-4.

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40

Gunal, A. I. "Strict volume control in the treatment of nephrogenic ascites." Nephrology Dialysis Transplantation 17, no. 7 (July 1, 2002): 1248–51. http://dx.doi.org/10.1093/ndt/17.7.1248.

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41

Vriesendorp, Titia M., J. Hans DeVries, and Joost BL Hoekstra. "Hypoglycemia and strict glycemic control in critically ill patients." Current Opinion in Critical Care 14, no. 4 (August 2008): 397–402. http://dx.doi.org/10.1097/mcc.0b013e328306c7b1.

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42

Chong, Kenneth C., Shane G. Henderson, and Mark E. Lewis. "TWO-CLASS ROUTING WITH ADMISSION CONTROL AND STRICT PRIORITIES." Probability in the Engineering and Informational Sciences 32, no. 2 (June 13, 2017): 163–78. http://dx.doi.org/10.1017/s0269964817000195.

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We consider the problem of routing and admission control in a loss system featuring two classes of arriving jobs (high-priority and low-priority jobs) and two types of servers, in which decision-making for high-priority jobs is forced, and rewards influence the desirability of each of the four possible routing decisions. We seek a policy that maximizes expected long-run reward, under both the discounted reward and long-run average reward criteria, and formulate the problem as a Markov decision process. When the reward structure favors high-priority jobs, we demonstrate that there exists an optimal monotone switching curve policy with slope of at least −1. When the reward structure favors low-priority jobs, we demonstrate that the value function, in general, lacks structure, which complicates the search for structure in optimal policies. However, we identify conditions under which optimal policies can be characterized in greater detail. We also examine the performance of heuristic policies in a brief numerical study.
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43

Lin, Jung-Shan. "Nonlinear control design of discrete-time strict-feedback systems." IFAC Proceedings Volumes 32, no. 2 (July 1999): 1566–71. http://dx.doi.org/10.1016/s1474-6670(17)56265-5.

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44

Pan, Yongping, Yiqi Liu, and Haoyong Yu. "Simplified adaptive neural control of strict-feedback nonlinear systems." Neurocomputing 159 (July 2015): 251–56. http://dx.doi.org/10.1016/j.neucom.2015.01.053.

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45

Franken, Daniel R., Regula Barendsen Clin. Med. Tech, and Thinus F. Kruger. "A continuous quality control program for strict sperm morphology." Fertility and Sterility 74, no. 4 (October 2000): 721–24. http://dx.doi.org/10.1016/s0015-0282(00)01498-9.

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46

Kapoor, John R., and Roger Kapoor. "Strict Glucose Control in the Cardiac Intensive Care Unit." Journal of the American College of Cardiology 54, no. 4 (July 2009): 373–74. http://dx.doi.org/10.1016/j.jacc.2009.03.059.

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47

Huang, Jeng-Tze, and Thanh-Phong Pham. "Differentiation-Free Multiswitching Neuroadaptive Control of Strict-Feedback Systems." IEEE Transactions on Neural Networks and Learning Systems 29, no. 4 (April 2018): 1095–107. http://dx.doi.org/10.1109/tnnls.2017.2651903.

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48

Lim, Gregory B. "Effects of strict glycaemic control on ischaemic heart disease." Nature Reviews Cardiology 11, no. 10 (August 19, 2014): 558. http://dx.doi.org/10.1038/nrcardio.2014.122.

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49

Günal, Ali Ihsan, Soner Duman, Mehmet Özkahya, Hüseyin Töz, Gülay Asçi, Fehmi Akçiçek, and Ali Basçi. "Strict volume control normalizes hypertension in peritoneal dialysis patients." American Journal of Kidney Diseases 37, no. 3 (March 2001): 588–93. http://dx.doi.org/10.1053/ajkd.2001.22085.

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50

Tall, Issa Amadou. "Strict feedforward control systems, linearisability, and convergent normal forms." International Journal of Control 83, no. 10 (September 21, 2010): 1994–2011. http://dx.doi.org/10.1080/00207179.2010.501392.

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