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Journal articles on the topic 'Randomised algorithm'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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1

Petford, A. D., and D. J. A. Welsh. "A randomised 3-colouring algorithm." Discrete Mathematics 74, no. 1-2 (1989): 253–61. http://dx.doi.org/10.1016/0012-365x(89)90214-8.

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2

GIL, JOSEPH (YOSSI), and YOAV ZIBIN. "Randomised algorithms for isomorphisms of simple types." Mathematical Structures in Computer Science 17, no. 3 (2007): 565–84. http://dx.doi.org/10.1017/s0960129507006068.

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We give the first linear time (randomised) algorithm for the first order isomorphism problem, that is, the isomorphism of non-recursive types involving product- and function-type constructors, under the axioms of commutativity and associativity of products, currying and distributivity of functions over products. This problem can also be thought of as the problem of formal equality-testing of multi-variate expressions involving only multiplications and exponentiation. Previous work gave a deterministic O(n log2n) time and O(n) space algorithm for the problem (n being the input size). Our specif

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Bera, Debajyoti, and Sapv Tharrmashastha. "Quantum and Randomised Algorithms for Non-linearity Estimation." ACM Transactions on Quantum Computing 2, no. 2 (2021): 1–27. http://dx.doi.org/10.1145/3456509.

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Non-linearity of a Boolean function indicates how far it is from any linear function. Despite there being several strong results about identifying a linear function and distinguishing one from a sufficiently non-linear function, we found a surprising lack of work on computing the non-linearity of a function. The non-linearity is related to the Walsh coefficient with the largest absolute value; however, the naive attempt of picking the maximum after constructing a Walsh spectrum requires Θ (2 n ) queries to an n -bit function. We improve the scenario by designing highly efficient quantum and ra

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Dyer, M., R. Kannan, and L. Stougie. "A simple randomised algorithm for convex optimisation." Mathematical Programming 147, no. 1-2 (2013): 207–29. http://dx.doi.org/10.1007/s10107-013-0718-0.

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Fan, Xiying, Chuanhe Huang, Junyu Zhu, and Bin Fu. "Replication-Based Data Dissemination in Connected Internet of Vehicles." Wireless Communications and Mobile Computing 2019 (April 4, 2019): 1–16. http://dx.doi.org/10.1155/2019/2150524.

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Due to the dynamically changing topology of Internet of Vehicles (IoV), it is a challenging issue to achieve efficient data dissemination in IoV. This paper considers strongly connected IoV with a number of heterogenous vehicular nodes to disseminate information and studies distributed replication-based data dissemination algorithms to improve the performance of data dissemination. Accordingly, two data replication algorithms, a deterministic algorithm and a distributed randomised algorithm, are proposed. In the proposed algorithms, the number of message copies spread in the network is limited

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HÖGBERG, JOHANNA. "A randomised inference algorithm for regular tree languages." Natural Language Engineering 17, no. 2 (2011): 203–19. http://dx.doi.org/10.1017/s1351324911000064.

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AbstractWe present a randomised inference algorithm for regular tree languages. The algorithm takes as input two disjoint finite nonempty sets of trees 𝒫 and 𝒩 and outputs a nondeterministic finite tree automaton that accepts every tree in 𝒫 and rejects every tree in 𝒩. The output automaton typically represents a nontrivial generalisation of the examples given in 𝒫 and 𝒩. To obtain compact output automata, we use a heuristics similar to bisimulation minimisation. The algorithm has time complexity of $\ordo{\negsize \cdot \possize^2}$, where n𝒩 and n𝒫 are the size of 𝒩 and 𝒫, respectively. Expe

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Fränti, P., and J. Kivijärvi. "Randomised Local Search Algorithm for the Clustering Problem." Pattern Analysis & Applications 3, no. 4 (2000): 358–69. http://dx.doi.org/10.1007/s100440070007.

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El Ouali, Mourad, Helena Fohlin, and Anand Srivastav. "A randomised approximation algorithm for the hitting set problem." Theoretical Computer Science 555 (October 2014): 23–34. http://dx.doi.org/10.1016/j.tcs.2014.03.029.

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9

Annan, J. D. "A Randomised Approximation Algorithm for Counting the Number of Forests in Dense Graphs." Combinatorics, Probability and Computing 3, no. 3 (1994): 273–83. http://dx.doi.org/10.1017/s0963548300001188.

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A polynomial-time randomised algorithm for uniformly generating forests in a dense graph is presented. Using this, a fully polynomial randomised approximation scheme (fpras) for counting the number of forests in a dense graph is created.

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10

Cheyne, H., V. Hundley, D. Dowding, et al. "Effects of algorithm for diagnosis of active labour: cluster randomised trial." BMJ 337, dec08 2 (2008): a2396. http://dx.doi.org/10.1136/bmj.a2396.

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11

Cornu, Catherine, Behrouz Kassai, Roland Fisch, et al. "Experimental designs for small randomised clinical trials: an algorithm for choice." Orphanet Journal of Rare Diseases 8, no. 1 (2013): 48. http://dx.doi.org/10.1186/1750-1172-8-48.

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12

Dyer, Martin, and Alan Frieze. "Random walks, totally unimodular matrices, and a randomised dual simplex algorithm." Mathematical Programming 64, no. 1-3 (1994): 1–16. http://dx.doi.org/10.1007/bf01582563.

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13

Halperin, Shay, and Uri Zwick. "An Optimal Randomised Logarithmic Time Connectivity Algorithm for the EREW PRAM." Journal of Computer and System Sciences 53, no. 3 (1996): 395–416. http://dx.doi.org/10.1006/jcss.1996.0078.

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14

Lissovoi, Andrei, Pietro S. Oliveto, and John Alasdair Warwicker. "On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 2322–29. http://dx.doi.org/10.1609/aaai.v33i01.33012322.

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Selection hyper-heuristics are automated algorithm selection methodologies that choose between different heuristics during the optimisation process. Recently selection hyperheuristics choosing between a collection of elitist randomised local search heuristics with different neighbourhood sizes have been shown to optimise a standard unimodal benchmark function from evolutionary computation in the optimal expected runtime achievable with the available low-level heuristics. In this paper we extend our understanding to the domain of multimodal optimisation by considering a hyper-heuristic from the

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15

Hubers, Lowiek, Alex Spyropoulos, John Eikelboom, et al. "Randomised comparison of a simple warfarin dosing algorithm versus a computerised anticoagulation management system for control of warfarin maintenance therapy." Thrombosis and Haemostasis 108, no. 12 (2012): 1228–35. http://dx.doi.org/10.1160/th12-06-0433.

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SummaryExcellent control of the international normalised ratio (INR) is associated with improved clinical outcomes in patients receiving warfarin, and can be achieved by anticoagulation clinics but is difficult in general practice. Anticoagulation clinics have often used validated commercial computer systems to manage the INR, but these are not usually available to general practitioners. It was the objective of this study to perform a randomised trial of a simple one-step warfarin dosing algorithm against a widely used computerised dosing system. During the period of introduction of a commerci

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16

Pang, King-Wah, and Hau-Ling Chan. "Data mining-based algorithm for storage location assignment in a randomised warehouse." International Journal of Production Research 55, no. 14 (2016): 4035–52. http://dx.doi.org/10.1080/00207543.2016.1244615.

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Li, Jingchao, Qingtao Wu, Ruijuan Zheng, Junlong Zhu, Quanbo Ge, and Mingchuan Zhang. "Randomised block‐coordinate Frank‐Wolfe algorithm for distributed online learning over networks." Cognitive Computation and Systems 2, no. 2 (2020): 72–79. http://dx.doi.org/10.1049/ccs.2020.0007.

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18

Darkins, Robert, Emma J. Cooke, Zoubin Ghahramani, Paul D. W. Kirk, David L. Wild, and Richard S. Savage. "Accelerating Bayesian Hierarchical Clustering of Time Series Data with a Randomised Algorithm." PLoS ONE 8, no. 4 (2013): e59795. http://dx.doi.org/10.1371/journal.pone.0059795.

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19

Peretz, Y., and W. Wu. "A randomised algorithm for computing static-output-feedbacks for large-scale systems." International Journal of Systems Science 50, no. 16 (2019): 2898–917. http://dx.doi.org/10.1080/00207721.2019.1691280.

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20

Z̆erovnik, Janez. "A randomised heuristical algorithm for estimating the chromatic number of a graph." Information Processing Letters 33, no. 4 (1989): 213–19. http://dx.doi.org/10.1016/0020-0190(89)90144-0.

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21

Law, Maska, Alice C. Niemeyer, Cheryl E. Praeger, and Ákos Seress. "A Reduction Algorithm for Large-Base Primitive Permutation Groups." LMS Journal of Computation and Mathematics 9 (2006): 159–73. http://dx.doi.org/10.1112/s1461157000001236.

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AbstractThe authors present a nearly linear-time Las Vegas algorithm that, given a large-base primitive permutation group, constructs its natural imprimitive representation. A large-base primitive permutation group is a subgroup of a wreath product of symmetric groups Sn and Sr in product action on r-tuples of k-element subsets of {1, …, n}, containing Anr. The algorithm is a randomised speed-up of a deterministic algorithm of Babai, Luks, and Seress.

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22

Pavel, Andreea M., Janet M. Rennie, Linda S. de Vries, et al. "A machine-learning algorithm for neonatal seizure recognition: a multicentre, randomised, controlled trial." Lancet Child & Adolescent Health 4, no. 10 (2020): 740–49. http://dx.doi.org/10.1016/s2352-4642(20)30239-x.

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23

Estrada-Moreno, Alejandro, Albert Ferrer, Angel A. Juan, Adil Bagirov, and Javier Panadero. "A biased-randomised algorithm for the capacitated facility location problem with soft constraints." Journal of the Operational Research Society 71, no. 11 (2019): 1799–815. http://dx.doi.org/10.1080/01605682.2019.1639478.

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24

Wang, Shirley V., James R. Rogers, Yinzhu Jin, et al. "Stepped-wedge randomised trial to evaluate population health intervention designed to increase appropriate anticoagulation in patients with atrial fibrillation." BMJ Quality & Safety 28, no. 10 (2019): 835–42. http://dx.doi.org/10.1136/bmjqs-2019-009367.

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BackgroundClinical guidelines recommend anticoagulation for patients with atrial fibrillation (AF) at high risk of stroke; however, studies report 40% of this population is not anticoagulated.ObjectiveTo evaluate a population health intervention to increase anticoagulation use in high-risk patients with AF.MethodsWe used machine learning algorithms to identify patients with AF from electronic health records at high risk of stroke (CHA2DS2-VASc risk score ≥2), and no anticoagulant prescriptions within 12 months. A clinical pharmacist in the anticoagulation service reviewed charts for algorithm-

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25

Rescigno, A. A. "Fault-Tolerant Parallel Communication in the Star Network." Parallel Processing Letters 07, no. 01 (1997): 57–68. http://dx.doi.org/10.1142/s0129626497000085.

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In this paper we study the problem of fault-tolerant parallel routing in the star network, i.e., we assume that all processors send packets according to the prescribed protocol but some packets may fail to reach (on time) their destination. Using the Information Dispersal Algorithm (IDA) we obtain a fault-tolerant randomised routing algorithm whose probability of success is 1 - N-Θ(n), where N = n! is the number of nodes of the star graph Sn.

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Alameddin, Shadi, Amélie Fau, David Néron, Pierre Ladevèze, and Udo Nackenhorst. "Toward Optimality of Proper Generalised Decomposition Bases." Mathematical and Computational Applications 24, no. 1 (2019): 30. http://dx.doi.org/10.3390/mca24010030.

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The solution of structural problems with nonlinear material behaviour in a model order reduction framework is investigated in this paper. In such a framework, greedy algorithms or adaptive strategies are interesting as they adjust the reduced order basis (ROB) to the problem of interest. However, these greedy strategies may lead to an excessive increase in the size of the ROB, i.e., the solution is no more represented in its optimal low-dimensional expansion. Here, an optimised strategy is proposed to maintain, at each step of the greedy algorithm, the lowest dimension of a Proper Generalized

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27

Jamali, Majid, and Ali Ghiasian. "Randomised scheduling algorithm for virtual output queuing switch at the presence of non‐uniform traffic." IET Networks 8, no. 2 (2019): 138–42. http://dx.doi.org/10.1049/iet-net.2018.5115.

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28

Wang, Cong, Ying Yuan, Guorui Li, Sancheng Peng, and Ying Wang. "A randomised Kaczmarz method-based matrix completion algorithm for data collection in wireless sensor networks." International Journal of Embedded Systems 11, no. 4 (2019): 440. http://dx.doi.org/10.1504/ijes.2019.10022140.

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29

Nielsen, Peter Brønnum, Søren Lundbye-Christensen, Meriam van der Male, and Torben Bjerregaard Larsen. "Using a personalized decision support algorithm for dosing in warfarin treatment: A randomised controlled trial." Clinical Trials and Regulatory Science in Cardiology 25 (January 2017): 1–6. http://dx.doi.org/10.1016/j.ctrsc.2016.11.002.

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30

Kumar, B., S. Kannan Av, A. Jayant, and R. Mavuduru. "Echocardiography based algorithm for prevention and treatment of spinal hypotension: a prospective randomised controlled study." Journal of Cardiothoracic and Vascular Anesthesia 33 (September 2019): S97. http://dx.doi.org/10.1053/j.jvca.2019.07.109.

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31

Potter, Rachel, Anne Campbell, David R. Ellard, et al. "Multifaceted intervention to Reduce Antimicrobial Prescribing in Care Homes: a process evaluation of a UK-based non-randomised feasibility study." BMJ Open 9, no. 11 (2019): e032185. http://dx.doi.org/10.1136/bmjopen-2019-032185.

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ObjectivesTo explore the facilitators and obstacles to the development and implementation of the Reduce Antimicrobial Prescribing in Care Homes intervention.DesignWe used a mixed-methods approach. We conducted focus groups with care home staff and relatives of residents, and interviews with general practitioners (GPs) and home managers, completed observational visits and collected demographic data, training attendance records and data on the use of a decision-making algorithm. We used normalisation process theory to inform topic guides and interpretation of the data.SettingSix care homes, thre

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Tett, Simon F. B., Kuniko Yamazaki, Michael J. Mineter, Coralia Cartis, and Nathan Eizenberg. "Calibrating climate models using inverse methods: case studies with HadAM3, HadAM3P and HadCM3." Geoscientific Model Development 10, no. 9 (2017): 3567–89. http://dx.doi.org/10.5194/gmd-10-3567-2017.

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Abstract. Optimisation methods were successfully used to calibrate parameters in an atmospheric component of a climate model using two variants of the Gauss–Newton line-search algorithm: (1) a standard Gauss–Newton algorithm in which, in each iteration, all parameters were perturbed and (2) a randomised block-coordinate variant in which, in each iteration, a random sub-set of parameters was perturbed. The cost function to be minimised used multiple large-scale multi-annual average observations and was constrained to produce net radiative fluxes close to those observed. These algorithms were us

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Schwarz, Christoph E., André Kidszun, Nicole S. Bieder, et al. "Is faster better? A randomised crossover study comparing algorithms for closed-loop automatic oxygen control." Archives of Disease in Childhood - Fetal and Neonatal Edition 105, no. 4 (2019): 369–74. http://dx.doi.org/10.1136/archdischild-2019-317029.

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ObjectiveClosed-loop automatic control (CLAC) of the fractional inspired oxygen (FiO2) improved oxygen administration to preterm infants on respiratory support. We investigated whether a revised CLAC algorithm (CLACfast, ≤2 FiO2 adjustments/min), compared with routine manual control (RMConly), increased the proportion of time with arterial haemoglobin oxygen saturation measured by pulse oximetry within prespecified target ranges (Target%) while not being inferior to the original algorithm (CLACslow: ≤0.3 FiO2 adjustments/min).DesignUnblinded randomised controlled crossover study comparing thre

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Corr, Brian P., Tomasz Popiel, and Cheryl E. Praeger. "Nilpotent-independent sets and estimation in matrix algebras." LMS Journal of Computation and Mathematics 18, no. 1 (2015): 404–18. http://dx.doi.org/10.1112/s146115701500008x.

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Efficient methods for computing with matrices over finite fields often involve randomised algorithms, where matrices with a certain property are sought via repeated random selection. Complexity analyses for such algorithms require knowledge of the proportion of relevant matrices in the ambient group or algebra. We introduce a method for estimating proportions of families $N$ of elements in the algebra of all $d\times d$ matrices over a field of order $q$, where membership of a matrix in $N$ depends only on its ‘invertible part’. The method is based on the availability of estimates for proporti

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Peretz, Y., O. Merzbach, and S. Moyall. "On a new generalised LMI condition and randomised algorithm for robust stabilisation via static-output-feedback." International Journal of Systems Science 51, no. 1 (2019): 61–71. http://dx.doi.org/10.1080/00207721.2019.1692955.

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36

Tong, Hoi, Alberto Borobia, Manuel Quintana-Díaz, et al. "Acenocoumarol Pharmacogenetic Dosing Algorithm versus Usual Care in Patients with Venous Thromboembolism: A Randomised Clinical Trial." Journal of Clinical Medicine 10, no. 13 (2021): 2949. http://dx.doi.org/10.3390/jcm10132949.

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Patients with venous thromboembolism (VTE) require immediate treatment with anticoagulants such as acenocoumarol. This multicentre randomised clinical trial evaluated the effectiveness of a dosing pharmacogenetic algorithm versus a standard-of-care dose adjustment at the beginning of acenocoumarol treatment. We included 144 patients with VTE. On the day of recruitment, a blood sample was obtained for genotyping (CYP2C9*2, CYP2C9*3, VKORC1, CYP4F2, APOE). Dose adjustment was performed on day 3 or 4 after the start of treatment according to the assigned group and the follow-up was at 12 weeks. T

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Anthony, John, and Leann K. Schoeman. "Fluid management in pre-eclampsia." Obstetric Medicine 6, no. 3 (2013): 100–104. http://dx.doi.org/10.1177/1753495x13486896.

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Intravenous fluid given to women with pre-eclampsia may be a necessary form of treatment; however, intravenous fluid therapy can also cause iatrogenic pulmonary oedema. The indications for the use of intravenous fluids, the titration of the amount of fluid given and the use of invasive monitoring have not been subject to adequate examination in randomised studies. Clinical experience, combined with available evidence and a reasoned approach are the basis for a suggested management algorithm.

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Proudman, Susanna M., Michael J. James, Llewellyn D. Spargo, et al. "Fish oil in recent onset rheumatoid arthritis: a randomised, double-blind controlled trial within algorithm-based drug use." Annals of the Rheumatic Diseases 74, no. 1 (2013): 89–95. http://dx.doi.org/10.1136/annrheumdis-2013-204145.

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BackgroundThe effects of fish oil (FO) in rheumatoid arthritis (RA) have not been examined in the context of contemporary treatment of early RA. This study examined the effects of high versus low dose FO in early RA employing a ‘treat-to-target’ protocol of combination disease-modifying anti-rheumatic drugs (DMARDs).MethodsPatients with RA <12 months’ duration and who were DMARD-naïve were enrolled and randomised 2:1 to FO at a high dose or low dose (for masking). These groups, designated FO and control, were given 5.5 or 0.4 g/day, respectively, of the omega-3 fats, eicosapentaenoic acid +

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Clarke, Alexandra, Emma Yeomans, Kristy Elsayed, et al. "A Randomised Crossover Trial of Clinical Algorithm for Oxygen Saturation Targeting in Preterm Infants with Frequent Desaturation Episodes." Neonatology 107, no. 2 (2014): 130–36. http://dx.doi.org/10.1159/000368295.

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40

Tesfaye, Solomon H., Yabibal Gebeyehu, Eskindir Loha, Kjell Arne Johansson, and Bernt Lindtjørn. "Pulse oximeter with integrated management of childhood illness for diagnosis of severe childhood pneumonia at rural health institutions in Southern Ethiopia: results from a cluster-randomised controlled trial." BMJ Open 10, no. 6 (2020): e036814. http://dx.doi.org/10.1136/bmjopen-2020-036814.

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ObjectiveTo assess whether pulse oximetry improves health workers’ performance in diagnosing severe childhood pneumonia at health centres in Southern Ethiopia.DesignParallel cluster-randomised trial.SettingGovernment primary health centres.ParticipantsTwenty-four health centres that treat at least one pneumonia case per day in Southern Ethiopia. Children aged between 2 months and 59 months who present at health facilities with cough or difficulty breathing were recruited in the study from September 2018 to April 2019.Intervention armUse of the Integrated Management of Childhood Illness (IMCI)

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41

Schaik, Ivo N. van, and Filip Eftimov. "Chronic Inflammatory Demyelinating Polyradiculoneuropathy - An Overview of Existing Treatment Options and Prospects for the Future." European Neurological Review 6, no. 1 (2011): 45. http://dx.doi.org/10.17925/enr.2011.06.01.45.

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Chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) is an immune-mediated polyneuropathy. CIDP can cause prolonged periods of disability with many patients becoming severely debilitated at some time during their illness. Several open, uncontrolled studies and blinded, randomised clinical trials have shown that immunomodulatory therapy has a beneficial effect in CIDP. This paper reviews existing treatment options, provides a treatment algorithm and discusses prospects for the future. Corticosteroids, intravenous immunoglobulin, plasma exchange, immunosuppressive agents such as azat

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Cerezo-Manchado, Juan Jose, Vanessa Roldán, Javier Corral, et al. "Genotype-guided therapy improves initial acenocoumarol dosing." Thrombosis and Haemostasis 115, no. 01 (2016): 117–25. http://dx.doi.org/10.1160/th14-09-0814.

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SummaryA few trials so far have evaluated the effectiveness of algorithms designed to calculate doses in oral anticoagulant therapy, with negative or contradictory results. We compared a genotype-guided algorithm vs physician management for the initiation of acenocoumarol. In a twoarm, prospective, randomised study with patients with atrial fibrillation who started therapy, the first dose was administered to all patients according to the physician’s criteria. At 72 hours, the corresponding dose was calculated based on INR in the standard care group (SC, N=92), whereas genetic data (VKORC1, CYP

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Bianchi, Clélia M., François Mariotti, Anne Lluch, et al. "Computer-based tailored dietary counselling improves the nutrient adequacy of the diet of French pregnant women: a randomised controlled trial." British Journal of Nutrition 123, no. 2 (2019): 220–31. http://dx.doi.org/10.1017/s0007114519002617.

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AbstractDuring pregnancy, mothers-to-be should adapt their diet to meet increases in nutrient requirements. Pregnant women appear to be keener to adopt healthier diets, but are not always successful. The objective of the present study was to determine whether a guided, stepwise and tailored dietary counselling programme, designed using an optimisation algorithm, could improve the nutrient adequacy of the diet of pregnant women, beyond generic guidelines. Pregnant women (n 80) who attended Notre-Dame-de-Bon-Secours Maternity Clinic were randomly allocated to the control or intervention arm. Die

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Andreyev, H. Jervoise N., Barbara E. Benton, Amyn Lalji, et al. "Algorithm-based management of patients with gastrointestinal symptoms in patients after pelvic radiation treatment (ORBIT): a randomised controlled trial." Lancet 382, no. 9910 (2013): 2084–92. http://dx.doi.org/10.1016/s0140-6736(13)61648-7.

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Zapata, James, John Jairo Gómez, Robinson Araque Campo, Alejandro Matiz Rubio, and Augusto Sola. "A randomised controlled trial of an automated oxygen delivery algorithm for preterm neonates receiving supplemental oxygen without mechanical ventilation." Acta Paediatrica 103, no. 9 (2014): 928–33. http://dx.doi.org/10.1111/apa.12684.

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Grant, Alison D., Salome Charalambous, Mpho Tlali, et al. "Algorithm-guided empirical tuberculosis treatment for people with advanced HIV (TB Fast Track): an open-label, cluster-randomised trial." Lancet HIV 7, no. 1 (2020): e27-e37. http://dx.doi.org/10.1016/s2352-3018(19)30266-8.

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Barczyński, Marcin, Stanisław Cichoń, Aleksander Konturek, and Wojciech Cichoń. "A randomised study on a new cost-effective algorithm of quick intraoperative intact parathyroid hormone assay in secondary hyperparathyroidism." Langenbeck's Archives of Surgery 390, no. 2 (2005): 121–27. http://dx.doi.org/10.1007/s00423-004-0535-2.

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Robins, James, Anne Shrestha, James Hampton, and Badri Man Shrestha. "Management of Acute Lower Gastrointestinal Bleeding: Principles and Current Practice in the United Kingdom." Journal of Nepal Medical Association 53, no. 200 (2015): 304–10. http://dx.doi.org/10.31729/jnma.2753.

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Acute lower gastrointestinal bleeding is a common cause for hospital admission that results in significant morbidity and mortality. The major objectives of all involved in the management of ALGBI patients are to reduce mortality and the need for major surgery. A secondary objective is to prevent unnecessary hospital admission for patients presenting with bleeding that is not lifethreatening. The management of ALGBI has evolved over last decade with the changing modalities of diagnostic facilities. On review of the published literature, there is paucity of randomised control trials in relation

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Lissovoi, Andrei, Pietro S. Oliveto, and John Alasdair Warwicker. "Simple Hyper-Heuristics Control the Neighbourhood Size of Randomised Local Search Optimally for LeadingOnes." Evolutionary Computation 28, no. 3 (2020): 437–61. http://dx.doi.org/10.1162/evco_a_00258.

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Selection hyper-heuristics (HHs) are randomised search methodologies which choose and execute heuristics during the optimisation process from a set of low-level heuristics. A machine learning mechanism is generally used to decide which low-level heuristic should be applied in each decision step. In this article, we analyse whether sophisticated learning mechanisms are always necessary for HHs to perform well. To this end we consider the most simple HHs from the literature and rigorously analyse their performance for the LeadingOnes benchmark function. Our analysis shows that the standard Simpl

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McDiarmid, Colin. "A Random Recolouring Method for Graphs and Hypergraphs." Combinatorics, Probability and Computing 2, no. 3 (1993): 363–65. http://dx.doi.org/10.1017/s0963548300000730.

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Abstract:

We consider a simple randomised algorithm that seeks a weak 2-colouring of a hypergraph H; that is, it tries to 2-colour the points of H so that no edge is monochromatic. If H has a particular well-behaved form of such a colouring, then the method is successful within expected number of iterations O(n3) when H has n points. In particular, when applied to a graph G with n nodes and chromatic number 3, the method yields a 2-colouring of the vertices such that no triangle is monochromatic in expected time O(n4).

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