Journal articles: 'Setting parameters'

1

Orsi, Michael P. "Setting Parameters for Biotechnology." Linacre Quarterly 66, no. 1 (February 1999): 74–81. http://dx.doi.org/10.1080/20508549.1999.11877532.

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Eppstein, David. "Setting Parameters by Example." SIAM Journal on Computing 32, no. 3 (January 2003): 643–53. http://dx.doi.org/10.1137/s0097539700370084.

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Myers, Myrtle. "Setting Parameters in the 3by5 Program." OCLC Micro 1, no. 6 (June 1985): 12–13. http://dx.doi.org/10.1108/eb055766.

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Schivo, Stefano, Jetse Scholma, Marcel Karperien, Janine N. Post, Jaco van de Pol, and Rom Langerak. "Setting Parameters for Biological Models With ANIMO." Electronic Proceedings in Theoretical Computer Science 145 (March 31, 2014): 35–47. http://dx.doi.org/10.4204/eptcs.145.5.

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Le, D. T., and S. L. Chen. "Parameters setting of selective laser melting machine." IOP Conference Series: Materials Science and Engineering 1009 (January 16, 2021): 012030. http://dx.doi.org/10.1088/1757-899x/1009/1/012030.

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Ngadiman, N. H. A., M. Y. Noordin, Ani Idris, and Denni Kurniawan. "Effect of Electrospinning Parameters Setting towards Fiber Diameter." Advanced Materials Research 845 (December 2013): 985–88. http://dx.doi.org/10.4028/www.scientific.net/amr.845.985.

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Fabrication of nanofibers using electrospinning has recently attracted much attention for various applications due to its simplicity. Electrospinning has the ability to produce nanofibers within 100-500 nm. Some applications require certain fiber diameter. As a relatively new process, there are many electrospinning parameters that are believed to influence the nanofibers diameter. The purpose of this review is to identify and discuss the effect of some of those parameters, i.e. concentration, spinning distance, and applied voltage, and volume flow rate, to the nanofiber diameter during electrospinning process. It was concluded that fiber volume flow rate is proportional to fiber diameter while there is no agreement in reports on other parameters.

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Farrington, Andy. "Defining and setting the parameters of clinical supervision." British Journal of Nursing 4, no. 15 (August 10, 1995): 874–75. http://dx.doi.org/10.12968/bjon.1995.4.15.874.

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Atherton, Derek P. "Setting the Parameters of Proportional–Integral–Derivative Controllers." Measurement and Control 48, no. 9 (November 2015): 273–77. http://dx.doi.org/10.1177/0020294015600476.

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Chen, Jianhua, and Xiaoguang Yang. "Setting parameters for scheduling targets under emergent situations." International Journal of Management Science and Engineering Management 2, no. 1 (January 2007): 55–63. http://dx.doi.org/10.1080/17509653.2007.10671009.

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Dadgar, Mehran, Ali Akbar Merati, and S. Mohammad Hosseini Varkiyani. "Evaluation of heat setting parameters in carpet comfort." Fibers and Polymers 16, no. 5 (May 2015): 1169–76. http://dx.doi.org/10.1007/s12221-015-1169-4.

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Nekrasov, I. V., and I. F. Zhagfarov. "Probabilistic alarms setting for indirectly measured technological parameters." Automation, Telemechanization and Communication in Oil Industry, no. 5 (2021): 25–29. http://dx.doi.org/10.33285/0132-2222-2021-5(574)-25-29.

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Voříšek, K., L. Růžek, M. Svobodová, J. Šantrůček, S. Strnadová, and E. Popelářová. "The influence of grassing and harvest management on microbial parameters after arable land setting-aside." Plant, Soil and Environment 48, No. 9 (December 21, 2011): 382–88. http://dx.doi.org/10.17221/4384-pse.

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During the years 1998–2000 soil chemical (Corg, Nt, pH), textural (sand, silt clay) and microbiological (microbial biomass carbon – CMB, microbial extracellular carbon – CEX, respiration, ammonification, nitrification) characteristics were tested on grassed chernozem [mollisol] after arable land setting-aside. Different harvest management was also tested: black and green fallow, one or two mulching per year, three cuts with plant biomass removal. For the evaluation of the influence of management and plants we have used three main criteria: (1) µg CMB/g dry soil, (2) ratio CMB/Corg (%), (3) µg CEX/mg CMB or eight criteria respectively: (4) ratio of measured and model values of CMB, (5) ratio of measured and model values of CEX/CMB, (6) potential respiration with glucose, (7) potential ammonification with peptone and (8) potential nitrification with (NH4)2SO4. According to these criteria, the best harvest management after arable land setting-aside from 5 different systems, which were tested, could be based on one or two mulching per year. It could be stressed that the two mulching was evaluated as the best in sum of dry mass yield (27.5 for mixtures, 20.1 for legumes and 14.2 for grasses – in t/ha/3 years). The use of legumes (Trifolium repens L. – Medicago lupulina L. – Lotus corniculatus L. – Medicago media Pers.) or grasses [Bromus catharticus Vahl – Arrhenatherum elatius (L.) Presl – Festuca pratensis Huds – Dactylis aschersoniana Graebn.] as cover plants was more successful than the use of their mixtures.

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Chen, Yong, and M. Y. He. "Vehicle-Mounted Camera Optimal Setting and Lane Projective Model for Lane Detection System." Applied Mechanics and Materials 220-223 (November 2012): 1362–67. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.1362.

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Lane detection system is generally composed of three modules, lane image acquisition with camera, lane recognition, and lane parameters calculation. The camera setting in lane image acquisition module determines the lane information content in image. This paper proposes the camera extrinsic parameter optimal setting for lane detection, which is derived from the lane projective model in image. Firstly, the general lane projective model in image is introduced. Then the camera extrinsic parameters error influence on the lane parameters calculation is analyzed and the camera extrinsic parameters setting ranges are gotten. Finally, the optimal camera extrinsic parameters settings are derived based on the lane projective model and the compact lane projective model is given. By using the camera optimal setting, the lane information content in the images captured by the camera can be maximized and the lane projective model can be compacted.

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Mulry, Mary H., Stephen Kaputa, and Katherine J. Thompson. "Setting M-Estimation Parameters for Detection and Treatment of Influential Values." Journal of Official Statistics 34, no. 2 (June 1, 2018): 483–501. http://dx.doi.org/10.2478/jos-2018-0022.

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Abstract Recent research on the use of M-estimation methodology for detecting and treating verified influential values in economic surveys found that initial parameter settings affect effectiveness. In this article, we explore the basic question of how to develop initial settings for the M-estimation parameters. The economic populations that we studied are highly skewed and are consequently highly stratified. While we investigated settings for several parameters, the most challenging problem was to develop an “automatic” data-driven method for setting the initial value of the tuning constant φ, the parameter with the greatest influence on performance of the algorithm. Of all the methods that we considered, we found that methods defined in terms of the accuracy of published estimates can be implemented on a large scale and yielded the best performance. We illustrate the methodology with an empirical analysis of 36 consecutive months of data from 19 industries in the Monthly Wholesale Trade Survey.

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Gansterer, Margaretha, Christian Almeder, and Richard F. Hartl. "Simulation-based optimization methods for setting production planning parameters." International Journal of Production Economics 151 (May 2014): 206–13. http://dx.doi.org/10.1016/j.ijpe.2013.10.016.

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Széwald, O., and I. Kotsis. "Setting the optimal technological parameters for producing ceramic substrates." Ceramics International 27, no. 4 (January 2001): 467–71. http://dx.doi.org/10.1016/s0272-8842(00)00104-8.

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Dauvillier, B. S., A. J. Feilzer, A. J. De Gee, and C. L. Davidson. "Visco-elastic Parameters of Dental Restorative Materials during Setting." Journal of Dental Research 79, no. 3 (March 2000): 818–23. http://dx.doi.org/10.1177/00220345000790030601.

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18

Inciardi, John F., and Neil H. Willits. "Setting Confidence Intervals for Drug Concentrations from Pharmacokinetic Parameters." Annals of Pharmacotherapy 26, no. 9 (September 1992): 1070–74. http://dx.doi.org/10.1177/106002809202600902.

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OBJECTIVE: To describe and illustrate a convenient method of forecasting drug concentrations with confidence intervals (CIs) using the means and standard deviations of relevant pharmacokinetic parameters (e.g., clearance and volume of distribution). DESIGN: Using summary statistics from previously published reports, a Monte Carlo technique employing a SAS random number generator creates an arbitrarily large “sample” of each pharmacokinetic parameter. A related “sample” of drug concentrations is provided by inserting the parameters into the appropriate model. A point estimate of the mean drug concentration with a CI is calculated using standard statistical methods. Both the one- and two-compartment body models are illustrated using previous investigations of gentamicin and lidocaine, respectively. RESULTS: One-compartment simulations describe CIs for gentamicin concentrations that vary widely depending on the source of the clearance and volume of distribution parameters. Lidocaine CIs using a two-compartment analysis indicate a range of concentrations quite different from the expected mean. CONCLUSIONS: CIs provide a perspective of drug therapy that is considerably more informative than a simple point estimate of the mean concentration.

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Smith, Wayne W., Stephen W. Litvin, Andrea Canberg, and Stacy R. Tomas. "Setting parameters: operational budget size and allocation of resources." International Journal of Event and Festival Management 1, no. 3 (October 22, 2010): 238–43. http://dx.doi.org/10.1108/17852951011078032.

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20

Yang, Ming, Wei Ping Zhao, and Lei Zhang. "Unmanned Helicopter Course PID Controller Parameters Setting and Simulation." Advanced Materials Research 748 (August 2013): 727–30. http://dx.doi.org/10.4028/www.scientific.net/amr.748.727.

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In the basis of the rolling angle inside loop controller stability, this paper using genetic algorithm to optimize the parameters of PID, in order to get the flight course outside loop controller parameters constituted by course angle feedback signal. Aiming at the small unmanned helicopter course stability control model features, we choose the rise time of system, the steady-state error and proportion of combination as an optimum target function. To ensure the effect of the controller and reduce the system shock, we introduce system shock times and multiply punishment function. It has better flexibility, adaptability, stability and can guaranty the system controller effect and improves the system capability by adopting the genetic algorithm to develop the PID controller. The simulation results verify the effectiveness of the method that we put forward.

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21

Nellis, Mike. "Setting the parameters of ‘digital (criminal) justice’ in Scotland." Probation Journal 64, no. 3 (June 8, 2017): 191–208. http://dx.doi.org/10.1177/0264550517712625.

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The term ‘digital justice’ has been used by the Scottish Government to delineate the potential of information and communication technology (ICT) in its civil, administrative and criminal justice systems. This paper concentrates on the latter area, outlining the content of the original 2014 digital justice strategy document and the subsequent Holyrood conferences used to promote it (Scottish Government, 2014). It notes gaps in the strategy, not least a failure to specify what human beings could and should be doing in digitized justice systems, and ambiguity about the endpoint of ‘full digitization’, which could be very threatening to existing forms of professional practice. It sets the policy debate in the broader context of increasing automation and the more critical literature on digitization, concluding with recommendations for a revised policy document, ideas which may be of interest outside Scotland.

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22

Valaee, S., and J. C. Gregoire. "An estimator of regulator parameters in a stochastic setting." IEEE/ACM Transactions on Networking 13, no. 6 (December 2005): 1376–89. http://dx.doi.org/10.1109/tnet.2005.861253.

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23

Amirjanov, Adil. "The parameters setting of a changing range genetic algorithm." Natural Computing 14, no. 2 (April 4, 2014): 331–38. http://dx.doi.org/10.1007/s11047-014-9420-2.

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Biondi, Gabriela Oliveira, and Ronaldo Cristiano Prati. "Setting Parameters for Support Vector Machines using Transfer Learning." Journal of Intelligent & Robotic Systems 80, S1 (January 20, 2015): 295–311. http://dx.doi.org/10.1007/s10846-014-0159-x.

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Bottura, Fernando B., Wellington M. S. Bernardes, Mário Oleskovicz, and Eduardo N. Asada. "Setting directional overcurrent protection parameters using hybrid GA optimizer." Electric Power Systems Research 143 (February 2017): 400–408. http://dx.doi.org/10.1016/j.epsr.2016.09.017.

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Torres-Treviño, Luis M., Indira G. Escamilla-Salazar, Bernardo González-Ortíz, and Rolando Praga-Alejo. "An expert system for setting parameters in machining processes." Expert Systems with Applications 40, no. 17 (December 2013): 6877–84. http://dx.doi.org/10.1016/j.eswa.2013.06.051.

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Jesmin, Zannatul Ferdous, Eti Saha, Farjana Yasmin, Anjuman Ara, and SM Khaliduzmnan. "Diagonostic parameters of polycystic ovarian syndrome in outpatient setting." Bangladesh Medical Journal Khulna 53, no. 1-2 (July 18, 2021): 17–22. http://dx.doi.org/10.3329/bmjk.v53i1-2.54884.

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Background: Polycystic ovarian syndrome (PCOS) is one of the most common endocrinopathy in reproductive age women. PCOS has complex etiopathology, diverse clinical presentation and diagnostic criteria. Objective: Objective of this study was to find out the determinant clinical feature and investigations for improving diagnostic accuracy and assessment of PCOS, thereby evolving opportunity for proper treatment. Methods: This prospective cross sectional observational study was conducted in Islami Bank hospital, Khulna, from January 2017 to February 2020. Women seeking gynecological consultation in outdoor with at least one complaint of oligomenorrhoea, hirsutism, weight gain or infertility were enrolled for study. Subjects were selected on the basis of inclusion and exclusion criteria. A structured proforma, based on relevant history, laboratory work up, risk factors and co morbidities were prepared before-hand. Diagnosis of PCOS was based on Rotterdam criteria, 2003. The clinical manifestations of PCOS, frequency of different sub phenotypes and associated morbidities were measured as outcome. Results: Total study population was 202. Age of subjects were in between 13- 37 years. Thirty seven (18%) were adolescent, one hundred forty (65.7%) patients were overweight and obese. Majority of cases were married. Complaint of infertility was present in 125 (61.9%) cases. Oligomenorrhoea, hirsutism, poly cystic ovary was present in 145 (71.8%), 137 (67%), and 130 (64.4%) patients respectively. LH/FSH ratio >2 in 45 (22.3%) cases, Serum free testosterone >0.79 ngm/ml were associated with hirsutism. PCOS with clinical sub phenotypes A, B, C, and D were 38(18.9%), 72 (35.6%), 27 (13.4%) and 65 (32.2%) cases respectively. Case morbidities were Hypertension 75 (37.1%), Diabetes mellitus 18 (8.9%) and Metabolic syndrome 44 (20.1%). Link with Hypothyroidism Hyperprolactinemia were identified in 47 (19%) cases. Conclusion: Oligo-anovulatory woman with hyperandrogenism with or without poly cystic ovary were diagnosed as a largest group of PCOS-A and B sub phenotypes. Infertility, hypothyroidism, hypertension, diabetes mellitus, metabolic syndrome and endometerial hyperplasia were common. Bang Med J Khulna 2020: 53 : 17-22

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Min, Daham, Junghyuk Heo, Kyeon Hur, and Surya Santoso. "Setting Parameters of the Analytic Wavelet Transforms for Estimating Electric Power System Damping Parameters." IEEE Transactions on Power Delivery 27, no. 4 (October 2012): 2409–11. http://dx.doi.org/10.1109/tpwrd.2012.2202203.

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Huang, Shao Rong. "A New Differential Evolution Algorithm with Random Parameters." Applied Mechanics and Materials 556-562 (May 2014): 3614–21. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3614.

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Differential evolution algorithm’s performance often depends heavily on the parameter settings. Based on analyzing the influence of the parameters setting in the experiment, the effects and the optimal selection of those major parameters on DE are analyzed, and some conclusions are derived. A new differential evolution algorithm which the scale constant (F) and crossover constant (CR) are generated as random numbers within a certain range in each iteration process is proposed. The experimental results shows that the new algorithm is simple, easy to realize and can get higher precision and better stability.

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GU Ying-ying, 顾营迎, 沈湘衡 SHEN Xiang-heng, 马军 MA Jun, 霍金明 HUO Jin-ming, 李静秋 LI Jing-qiu, and 葛欣宏 GE Xin-hong. "Verification of setting function for imaging parameters of space camera." Optics and Precision Engineering 22, no. 5 (2014): 1183–89. http://dx.doi.org/10.3788/ope.20142205.1183.

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Gupta, Abhijit, and Arup Kumar Das. "IMPROVING RESISTIVITY OF UF RESIN THROUGH SETTING OF PROCESS PARAMETERS." Quality Engineering 12, no. 4 (January 2000): 611–18. http://dx.doi.org/10.1080/08982110008962626.

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Pergher, Isaac, and Adiel Teixeira de Almeida. "A multi-attribute decision model for setting production planning parameters." Journal of Manufacturing Systems 42 (January 2017): 224–32. http://dx.doi.org/10.1016/j.jmsy.2016.12.012.

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Park, Moon-Won, and Yeong-Dae Kim. "A systematic procedure for setting parameters in simulated annealing algorithms." Computers & Operations Research 25, no. 3 (March 1998): 207–17. http://dx.doi.org/10.1016/s0305-0548(97)00054-3.

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Hanks, James D., and Nick M. Taylor. "Benchmarking and setting intervention targets for key cell count parameters." Livestock 17, no. 1 (January 2012): 34–38. http://dx.doi.org/10.1111/j.2044-3870.2011.00093.x.

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Perona, Marco, and Alberto Portioli. "The impact of parameters setting in load oriented manufacturing control." International Journal of Production Economics 55, no. 2 (July 1998): 133–42. http://dx.doi.org/10.1016/s0925-5273(98)00050-4.

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Lugovaya, N. M., A. S. Mikhalev, V. V. Kukartsev, V. S. Tynchenko, V. A. Baranov, A. O. Kolbina, and E. A. Chzhan. "The task of setting the parameters of metaheuristic optimization algorithms." Journal of Physics: Conference Series 1333 (October 2019): 032044. http://dx.doi.org/10.1088/1742-6596/1333/3/032044.

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Kadachi, Ahmed N., and Mohammad A. Al-Eshaikh. "Effect of Optimum Parameters Setting on Laser-Induced Breakdown Spectroscopy." Spectroscopy Letters 48, no. 6 (January 21, 2015): 403–10. http://dx.doi.org/10.1080/00387010.2014.895387.

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Puippe, J. C. "Guidelines for setting the useful range of pulse plating parameters." Transactions of the IMF 96, no. 5 (September 3, 2018): 244–52. http://dx.doi.org/10.1080/00202967.2018.1501907.

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39

Braglia, Marcello, and Roberto Gabbrielli. "A Genetic Approach for Setting Parameters of Reorder Point Systems." International Journal of Logistics Research and Applications 4, no. 3 (November 2001): 345–58. http://dx.doi.org/10.1080/13675560110084814.

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Olorunsola, Richard. "Retroconversion project in a Nigerian university library: setting the parameters." OCLC Systems & Services: International digital library perspectives 13, no. 3 (September 1997): 87–90. http://dx.doi.org/10.1108/10650759710174692.

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41

Wilson, John, and Alison Henry. "Parameter setting within a socially realistic linguistics." Language in Society 27, no. 1 (March 1998): 1–21. http://dx.doi.org/10.1017/s0047404500019709.

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ABSTRACTThis article considers the theoretical and practical relationship between core linguistics and sociolinguistics in relation to the emergence of Principles and Parameters Theory. Parameters were introduced into core Chomskyan linguistics in an effort to account for variation between languages. However, as we argue – and as has long been known in sociolinguistics – languages (French, Italian etc.) are social rather than abstract products. In this sense, core linguistics may need to pay more attention than it has in the past to aspects of actual variation in order to understand the limits and range of parameters. Thus we argue that dialects of languages in themselves have parameters, and as such may be defined within parametric limits. Here we believe there is something of interest to sociolinguists, in terms both of structural definitions and of overall historical development. In general, then, while variation has always been central to sociolinguistics, it is now central, in one sense, to core linguistics; and here we have the opportunity to explore ways in which sociolinguistics and core linguistics may relate to each other in their interest in variation. (Parameters; variation; dialect; Belfast; Ireland)

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MACWHINNEY, BRIAN. "Parameters or cues?" Bilingualism: Language and Cognition 7, no. 1 (April 2004): 35–36. http://dx.doi.org/10.1017/s1366728904001233.

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Truscott and Sharwood Smith (henceforth T&SS) attempt to show how second language acquisition can occur without any learning. In their APT model, change depends only on the tuning of innate principles through the normal course of processing of L2. There are some features of their model that I find attractive. Specifically, their acceptance of the concepts of competition and activation strength brings them in line with standard processing accounts like the Competition Model (Bates and MacWhinney, 1982; MacWhinney, 1987, in press). At the same time, their reliance on parameters as the core constructs guiding learning leaves this model squarely within the framework of Chomsky's theory of Principles and Parameters (P&P). As such, it stipulates that the specific functional categories of Universal Grammar serve as the fundamental guide to both first and second language acquisition. Like other accounts in the P&P framework, this model attempts to view second language acquisition as involving no real learning beyond the deductive process of parameter-setting based on the detection of certain triggers. The specific innovation of the APT model is that changes in activation strength during processing function as the trigger to the setting of parameters. Unlike other P&P models, APT does not set parameters in an absolute fashion, allowing their activation weight to change by the processing of new input over time. The use of the concept of activation in APT is far more restricted than its use in connectionist models that allow for Hebbian learning, self-organizing features maps, or back-propagation.

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Xu, Xiu Fen. "Design of Machine Tool Setting and Parameter Optimization." Advanced Materials Research 706-708 (June 2013): 1132–35. http://dx.doi.org/10.4028/www.scientific.net/amr.706-708.1132.

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To solve the existing problems in the NC machining process, the optimization design of cutting parameters in NC milling machine with genetic algorithm. With the maximum production efficiency as the optimization objective, the spindle speed, feed speed, milling width, depth and other parameters as optimal variables, establishes the optimization mathematical model of machine tool. The optimization results show that: parameters optimization can significantly improve the processing efficiency, and bring economic benefits for enterprises

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GU, Ning, Ji-min NI, Yun ZHONG, Bin QI, and Le-hua LIANG. "Parameters setting parameters and simulation of transient state model in engine thermal management based on KULI." Journal of Computer Applications 29, no. 7 (July 30, 2009): 1963–65. http://dx.doi.org/10.3724/sp.j.1087.2009.01963.

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Black, Peter A., David L. McRuer, and Leigh-Ann Horne. "Hematologic Parameters in Raptor Species in a Rehabilitation Setting Before Release." Journal of Avian Medicine and Surgery 25, no. 3 (September 2011): 192–98. http://dx.doi.org/10.1647/2010-024.1.

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Zhang, Fei, Jiao Fu, Hua Jia, and Jie Li. "Research of Setting Main Circuit Parameters of Independent Photovoltaic Power System." Applied Mechanics and Materials 260-261 (December 2012): 414–19. http://dx.doi.org/10.4028/www.scientific.net/amm.260-261.414.

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Inductance capacitance parameters value of main circuit devices of independent photovoltaic power system influence stability of system. In this paper, selection the suitable transistors, using a variety of algorithms to match the parameters value of capacitance, inductance. PSIM software was used to carry out modeling for photovoltaic cells, lead-acid battery, electrombile. Simulation of buck and boost DC/DC circuits, through analyzing time-domain waveform, verifys feasibility of design scheme, correctness of the algorithms. These algorithms provide a the oretical basis of main circuit setting of independent photovoltaic power system.

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Toussaint, M., M. C. Guillet, S. Paternotte, P. Soudon, and J. Haan. "Intrapulmonary Effects of Setting Parameters in Portable Intrapulmonary Percussive Ventilation Devices." Respiratory Care 57, no. 5 (May 1, 2012): 735–42. http://dx.doi.org/10.4187/respcare.01441.

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Wang, Bing Quan, and Zheng Wei Zhang. "Technical Study on Neural Network Intelligent Setting for GAIM Processing Parameters." Advanced Materials Research 102-104 (March 2010): 796–800. http://dx.doi.org/10.4028/www.scientific.net/amr.102-104.796.

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The defects in gas-assisted injection molding are mainly caused by processing parameters improper adjustment. The model for artificial neural network was developed, and was trained through the software platform MATLAB. By the bridle-wise network, the experimental parameters could be set quickly and intelligently. The correctness of these parameters was validated by CAE simulation.

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Volodin, Vasilij, Andrej Tolokonskij, and Ajk Verdyan. "Modern approaches to a problem of NPP automatic regulators parameters setting." Procedia Computer Science 145 (2018): 635–40. http://dx.doi.org/10.1016/j.procs.2018.11.070.

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Rodríguez García, Tomás, Nicoletta González Cancelas, and Francisco Soler-Flores. "Setting the Port Planning Parameters In Container Terminals through Bayesian Networks." PROMET - Traffic&Transportation 27, no. 5 (October 28, 2015): 395–403. http://dx.doi.org/10.7307/ptt.v27i5.1689.

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The correct prediction in the transport logistics has vital importance in the adequate means and resource planning and in their optimisation. Up to this date, port planning studies were based mainly on empirical, analytical or simulation models. This paper deals with the possible use of Bayesian networks in port planning. The methodology indicates the work scenario and how the network was built. The network was afterwards used in container terminals planning, with the support provided by the tools of the Elvira code. The main variables were defined and virtual scenarios inferences were realised in order to carry out the analysis of the container terminals scenarios through probabilistic graphical models. Having performed the data analysis on the different terminals and on the considered variables (berth, area, TEU, crane number), the results show the possible relationships between them. Finally, the conclusions show the obtained values on each considered scenario.

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Journal articles on the topic 'Setting parameters'

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