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Journal articles on the topic 'Sodium Modeling'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Mann, Helmut, and Siegfried Stiller. "Sodium modeling." Kidney International 58, Suppl. 76 (2000): 79–88. http://dx.doi.org/10.1046/j.1523-1755.2000.07610.x.

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2

Mann, Helmut, and Siegfried Stiller. "Sodium modeling." Kidney International 58 (August 2000): S79—S88. http://dx.doi.org/10.1016/s0085-2538(15)47404-6.

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3

Pedrini, Luciano A., Renato Ponti, Pietro Faranna, Giorgio Cozzi, and Francesco Locatelli. "Sodium modeling in hemodiafiltration." Kidney International 40, no. 3 (1991): 525–32. http://dx.doi.org/10.1038/ki.1991.241.

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4

Sadowski, R. H., E. N. Allred, and K. Jabs. "Sodium modeling ameliorates intradialytic and interdialytic symptoms in young hemodialysis patients." Journal of the American Society of Nephrology 4, no. 5 (1993): 1192–98. http://dx.doi.org/10.1681/asn.v451192.

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Despite advances in the delivery of hemodialysis, significant dialytic morbidity persists. Sodium modeling in older adults has been shown to decrease some dialytic symptoms, but clear benefits in young patients without coexisting diabetes or advanced cardiovascular disease have not been shown. The effects of sodium modeling were evaluated in 16 adolescent and young adult hemodialysis patients (16 to 32 yr of age) treated with conventional hemodialysis for a median of 11.5 months. The 8-wk study was divided into four 2-wk blocks. During each block, one of three sodium programs or a constant (co

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5

Lam, Kin, Zhe Wu, and Klaus Schulten. "Computational Modeling of Sodium Channel Inactivation." Biophysical Journal 110, no. 3 (2016): 108a. http://dx.doi.org/10.1016/j.bpj.2015.11.639.

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6

Peng, C., D. L. Qiao, D. Li, and J. Wu. "Liquid spray modeling under sodium fire accidents." Nuclear Engineering and Design 379 (August 2021): 111260. http://dx.doi.org/10.1016/j.nucengdes.2021.111260.

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7

Feng, Yi-Feng, Jia-Ni Shen, Zi-Feng Ma, and Yi-Jun He. "Equivalent circuit modeling of sodium-ion batteries." Journal of Energy Storage 43 (November 2021): 103233. http://dx.doi.org/10.1016/j.est.2021.103233.

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8

Furfaro, Damien, Richard Saurel, Lucas David, and François Beauchamp. "Towards sodium combustion modeling with liquid water." Journal of Computational Physics 403 (February 2020): 109060. http://dx.doi.org/10.1016/j.jcp.2019.109060.

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9

Ragon, A., J. P. Reynier, A. Murisasco, R. Elsen, and G. Leblond. "Dialysate Sodium Control During Modeling in Hemodialysis." Artificial Organs 9, no. 1 (1985): 63–65. http://dx.doi.org/10.1111/j.1525-1594.1985.tb04350.x.

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10

Zhu, Huayang, and Robert J. Kee. "Computational modeling of sodium-iodine secondary batteries." Electrochimica Acta 219 (November 2016): 70–81. http://dx.doi.org/10.1016/j.electacta.2016.09.104.

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11

Afzal, Sahar, Amir Rahimi, Mohammad Reza Ehsani, and Hossein Tavakoli. "Modeling hydrogen fluoride adsorption by sodium fluoride." Journal of Industrial and Engineering Chemistry 16, no. 6 (2010): 978–85. http://dx.doi.org/10.1016/j.jiec.2010.04.001.

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12

Åvall, Gustav, Jonas Mindemark, Daniel Brandell, and Patrik Johansson. "Sodium-Ion Battery Electrolytes: Modeling and Simulations." Advanced Energy Materials 8, no. 17 (2018): 1703036. http://dx.doi.org/10.1002/aenm.201703036.

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13

Hur, Jaewoong, Younane N. Abousleiman, Katherine L. Hull, and Mohammad Javad Abdolhosseini Qomi. "Modeling kerogen decomposition with sodium oxychlorine oxidizers." Fuel 366 (June 2024): 131296. http://dx.doi.org/10.1016/j.fuel.2024.131296.

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14

Liu, Cong Lin, Yan Huo, Ye Gao, and Zhi Gang Zhang. "Numerical Modeling of Sodium Fire in a Columnar Flow." Advanced Materials Research 955-959 (June 2014): 1829–34. http://dx.doi.org/10.4028/www.scientific.net/amr.955-959.1829.

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A numerical model has been developed to analyze the sodium fire in a columnar flow. The computation is validated by the experimental data. Rusults show that, the high temperature zone nearby the nozzle is growing long and widely with the combustion. When hot gas and cold air encounters, the eddies appear. The distribution law of sodium monoxide is similar to the temperature. The lowest concentration of sodium monoxide appears at the bottom of the burner where the eddies exist.

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15

TEWARI, SHIVENDRA G., and K. R. PARDASANI. "MODELING EFFECT OF SODIUM PUMP ON CALCIUM OSCILLATIONS IN NEURON CELLS." Journal of Multiscale Modelling 04, no. 03 (2012): 1250010. http://dx.doi.org/10.1142/s1756973712500102.

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Calcium plays a significant role in a number of processes like muscle contraction, gene expression, synaptic plasticity, signal transduction etc. but the significance of calcium oscillation is not yet completely understood in most of the cell types. A number of investigators have reported the oscillatory behavior of calcium due to intracellular concentration of inositol 1,4,5-trisphosphate (IP3). In this paper, an attempt has been made to study the oscillations induced in calcium due to dynamically changing membrane potential with special relevance to sodium pump. A mathematical model is devel

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16

KUNG, JASMINE, and NIKOLAI DEMARTINI. "Modeling the dynamics of evaporator wash cycles." TAPPI Journal 23, no. 7 (2024): 359–73. http://dx.doi.org/10.32964/tj23.7.359.

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Kraft pulping is a process that utilizes white liquor, composed of sodium sulfide (Na2S) and sodium hydroxide (NaOH), for wood delignification and pulp production. This process involves washing the dissolved organics and spent chemicals from the pulp, resulting in the generation of black liquor. Prior to its use as fuel in the recovery boiler, the black liquor is concentrated in multiple-effect evaporators. During the evaporation process, the inorganic salts present in the liquor become supersaturated and undergo crystallization. Fluctuations in sodium, carbonate, sulfate, and oxalate can give

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17

Sudoh, Masao, and John Newman. "Mathematical Modeling of the Sodium/Iron Chloride Battery." Journal of The Electrochemical Society 137, no. 3 (1990): 876–83. http://dx.doi.org/10.1149/1.2086571.

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18

Bland, A. C., L. Pyszka, and B. R. Pflederer. "Sodium modeling, hypotension, and weight gain in HD." Hemodialysis International 9, no. 1 (2005): 96. http://dx.doi.org/10.1111/j.1492-7535.2005.1121bs.x.

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19

Rutan, D. M., and P. G. Mathews. "Thermal Modeling of High Pressure Sodium Arc Tubes." Journal of the Illuminating Engineering Society 18, no. 1 (1989): 29–36. http://dx.doi.org/10.1080/00994480.1989.10748740.

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20

Guenther, P. M., J. M. G. Lyon, and L. J. Appel. "Modeling Sodium Levels in the USDA Food Patterns." Journal of the American Dietetic Association 111, no. 9 (2011): A36. http://dx.doi.org/10.1016/j.jada.2011.06.135.

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21

Goharrizi, Ataallah Soltani, and Bahador Abolpour. "Modeling an industrial sodium bicarbonate bubble column reactor." Applied Petrochemical Research 4, no. 2 (2014): 235–45. http://dx.doi.org/10.1007/s13203-014-0064-z.

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22

Bystrov, Vladimir S., and H. Richard Leuchtag. "Bioferroelectricity: Modeling the transitions of the sodium channel." Ferroelectrics 155, no. 1 (1994): 19–24. http://dx.doi.org/10.1080/00150199408007477.

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23

Zhorov, Boris S. "Molecular Modeling of Cardiac Sodium Channel with Mexiletine." Membranes 12, no. 12 (2022): 1252. http://dx.doi.org/10.3390/membranes12121252.

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A sodium channel blocker mexiletine (MEX) is used to treat chronic pain, myotonia and some arrhythmias. Mutations in the pore domain (PD) of voltage-gated sodium channels differently affect tonic block (TB) and use-dependent block (UDB) by MEX. Previous studies identified several MEX-sensing residues in the hNav1.5 channel and demonstrated that the channel block by MEX increases with activation of the voltage-sensing domain III (VSDIII), whereas MEX stabilizes the activated state of VSDIII. Structural rationales for these observations are unclear. Here, Monte Carlo (MC) energy minimizations we

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24

Tenishev, Valeriy, Martin Rubin, Orenthal J. Tucker, Michael R. Combi, and Menelaos Sarantos. "Kinetic modeling of sodium in the lunar exosphere." Icarus 226, no. 2 (2013): 1538–49. http://dx.doi.org/10.1016/j.icarus.2013.08.021.

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25

Rinehart, Joseph, Sean Coeckelenbergh, Ishita Srivastava, Maxime Cannesson, and Alexandre Joosten. "Physiological Modeling of Hemodynamic Responses to Sodium Nitroprusside." Journal of Personalized Medicine 13, no. 7 (2023): 1101. http://dx.doi.org/10.3390/jpm13071101.

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Background: Computational modeling of physiology has become a routine element in the development, evaluation, and safety testing of many types of medical devices. Members of the Food and Drug Administration have recently published a manuscript detailing the development, validation, and sensitivity testing of a computational model for blood volume, cardiac stroke volume, and blood pressure, noting that such a model might be useful in the development of closed-loop fluid administration systems. In the present study, we have expanded on this model to include the pharmacologic effect of sodium nit

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26

Refaat, Ahmed, Hanan Elhaes, Nabila S. Ammar, Hanan S. Ibrahim, and Medhat Ibrahim. "Green Route for the Removal of Pb from Aquatic Environment." Combinatorial Chemistry & High Throughput Screening 23, no. 7 (2020): 587–98. http://dx.doi.org/10.2174/1386207323666200127123349.

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Aim and Objective: Wastewater treatment/remediation is a very important process that has a great environmental and economic impact. Therefore, it is crucial to innovate different methods to remove pollutants of different sources from wastewater. This work was conducted in order to study the removal of lead (Pb+2) from wastewater using microspheres of composites of sodium alginate, cellulose and chitosan, as well as using a cost-effective green route through composites of sodium alginate and dried water hyacinth. Materials and Methods: Molecular modeling at B3LYP/6-31g(d,p) was utilized to stud

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27

HINCH, ROBERT. "MODELING OF WOLFF–PARKINSON–WHITE SYNDROME." International Journal of Bifurcation and Chaos 13, no. 12 (2003): 3827–34. http://dx.doi.org/10.1142/s0218127403008922.

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Wolff–Parkinson–White syndrome is a disease where an arrhythmia is caused by the ventricles being electrically excited by an additional accessory pathway that links the atria to the ventricles. The spread of the activation wave from this pathway to the ventricles is modeled using a simplified model of Hodgkin–Huxley sodium channel kinetics, in a two ion-channel model. The model is investigated both analytically (using an asymptotic analysis) and numerically, and both methods are shown to give the same result. It is found that for a given width of the accessory pathway, there is a critical sodi

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28

Lebedeva, Katerina, Anna Cherkashina, Yuriy Masikevych, Andrew Masikevych, A. A. Voronkin, and Vladimir Lebedev. "Modeling of Smart Bio-Medical Active Polymeric Hydrogel Transdermal Materials." Journal of Engineering Sciences 11, no. 1 (2024): C1—C7. http://dx.doi.org/10.21272/jes.2024.11(1).c1.

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In this article, effective 3D printing modeling technology of smart bio-medical polymeric hydrogel transdermal materials based on gelatin and sodium alginate, modified by humic acids, was researched. Such smart biologically active polymeric hydrogel materials showed interesting applicability in tissue engineering fields due to their intrinsic biological compatibility, adaptability, and capacity to replicate the extracellular matrix environment. A literature review was carried out and proved that 3D printing modeling technology is a perspective for the functional effect on the smart bio-medical

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29

Kaali, Peter, and György Czél. "Modelling of Ion Distribution in Single, Binary and Ternary Ion Exchanged Zeolite Used for Biomedical Applications." Materials Science Forum 752 (March 2013): 268–74. http://dx.doi.org/10.4028/www.scientific.net/msf.752.268.

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Based on the previously published sodium and Ag, Cu, Zn ion-exchange and re-excange experiments we took an attempt to modeling its structure. We also took in account the ion release experimental results and the rigorous survey of the literature data when we positioned the ions in zeolite crystal structure. Therefore the current study aimed to modeling the ion distribution of single, binary and ternary ion-exchanged zeolite systems used for antimicrobial purposes, where the variation of silver, copper and zinc is incorporated into the zeolite structure. The tool of modelling was “CrystalMaker6”

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30

Kumar, Chanchal, Aniket D. Monde, Anirban Bhattacharya, and Prodyut R. Chakraborty. "Modeling of dendrite growth in undercooled solution sodium acetate trihydrate." E3S Web of Conferences 128 (2019): 01023. http://dx.doi.org/10.1051/e3sconf/201912801023.

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The sodium acetate trihydrate is commonly used as energy storage phase change material in heating pads for body or hand warmer in cold climates. The undercooled melt of sodium acetate trihydrate kept at room temperature results in an exothermic reaction when solidification seed is nucleated. In presentwork, modeling of denritic growth in an undercooled solution of sodium acetate trihydrate has been carried out. The enthalpy method has been used to compute solid-liquid interface growing in undercooled melt. The interface temperature, concentration and grain growth have been modeled considering

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31

Aly, Ahmed, Agustin Abarca, Maria Avramova, and Kostadin Ivanov. "EXTENDING CTF MODELING CAPABILITIES TO SFRs AND VALIDATION AGAINST SHRT TESTS." EPJ Web of Conferences 247 (2021): 10034. http://dx.doi.org/10.1051/epjconf/202124710034.

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The utilization of liquid metals as coolants for fast reactors brings several economical and practical advantages that lead to a sustainable future for nuclear energy. Molten sodium is used as a coolant in Sodium Fast Reactors (SFRs). Sodium is relatively cheaper than other metal coolants. It requires lower pumping power, causes less neutron moderation and it is non-corrosive to the fuel cladding. The SFR hexagonal subassemblies are relatively smaller than Light Water Reactors (LWRs) subassemblies. The differences in the geometrical design of SFRs compared to LWRs lead to different physical be

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32

Taqveem, Ali Khan. "Use of Artificial Neural Networks and Regression Models in Groundwater Quality Studies in the Suburbs of Aligarh City, India." Use of Artificial Neural Networks and Regression Models in Groundwater Quality Studies in the Suburbs of Aligarh City, India 8, no. 11 (2023): 7. https://doi.org/10.5281/zenodo.10250605.

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This study explores the application of regression models and artificial neural networks (ANNs) in predicting Total Dissolved Solids (TDS) in groundwater within two distinct regions of Aligarh city - the Northern Area Samples (NAS) and the Southern Area Samples (SAS). It aims to identify the key predictors of TDS in both areas and to compare the effectiveness of the two modelling approaches. In the NAS, sulphate, bicarbonate, sodium, and chloride were found to be the major TDS predictors, with the strongest being sulphate. In contrast, the SAS showed sodium, magnesium, potassium, and chloride a

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33

Trieu, Kathy, Daisy H. Coyle, Ashkan Afshin, Bruce Neal, Matti Marklund, and Jason H. Y. Wu. "The estimated health impact of sodium reduction through food reformulation in Australia: A modeling study." PLOS Medicine 18, no. 10 (2021): e1003806. http://dx.doi.org/10.1371/journal.pmed.1003806.

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Background The Australian Government recently established sodium targets for packaged foods to encourage voluntary reformulation to reduce population sodium consumption and related diseases. We modeled the health impact of Australia’s sodium reformulation targets and additional likely health gains if more ambitious, yet feasible sodium targets had been adopted instead. Methods and findings Using comparative risk assessment models, we estimated the averted deaths, incidence, and disability-adjusted life years (DALYs) from cardiovascular disease (CVD), chronic kidney disease (CKD) and stomach ca

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34

Belashchenko, D. K. "Computer Modeling of Sodium in the Embedded Atom Model." Russian Journal of Physical Chemistry A 95, no. 1 (2021): 106–18. http://dx.doi.org/10.1134/s0036024421010040.

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35

Shirmohamm, Zahra, and Somayeh Heydari. "Modeling of Exchangeable Sodium Ratio on the Saline Soil." Pakistan Journal of Biological Sciences 23, no. 2 (2020): 159–65. http://dx.doi.org/10.3923/pjbs.2020.159.165.

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36

Ji, Xiaofeng, Yi Xiao, and Shiyong Liu. "Structural modeling of human cardiac sodium channel pore domain." Journal of Biomolecular Structure and Dynamics 36, no. 9 (2017): 2268–78. http://dx.doi.org/10.1080/07391102.2017.1348990.

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37

Fu, Yonggao, Jun Wang, Meiwen Liu, Junfu Li, and Junya Shao. "A simplified electrochemical modeling method for sodium-ion batteries." Journal of Energy Storage 112 (March 2025): 115495. https://doi.org/10.1016/j.est.2025.115495.

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38

Sathiah, Pratap, and Ferry Roelofs. "Numerical modeling of sodium fire—Part I: Spray combustion." Nuclear Engineering and Design 278 (October 2014): 723–38. http://dx.doi.org/10.1016/j.nucengdes.2013.11.081.

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39

Tikhonov, Denis B., and Boris S. Zhorov. "Modeling the Outer Pore of Sodium and Calcium Channels." Biophysical Journal 98, no. 3 (2010): 312a. http://dx.doi.org/10.1016/j.bpj.2009.12.1696.

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40

Yarov-Yarovoy, Vladimir. "Structural Modeling of a Human Voltage-Gated Sodium Channel." Biophysical Journal 102, no. 3 (2012): 603a. http://dx.doi.org/10.1016/j.bpj.2011.11.3286.

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41

Nguyen, Phuong T., Jon T. Sack, Toby W. Allen, and Vladimir Yarov-Yarovoy. "Structural Modeling of the Human Nav1.7 Sodium Channel Pore." Biophysical Journal 104, no. 2 (2013): 137a. http://dx.doi.org/10.1016/j.bpj.2012.11.783.

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42

Koo, Gyeong-Hoi, Suk-Hoon Kim, and Jong-Bum Kim. "Seismic modeling and analysis for sodium-cooled fast reactor." Structural Engineering and Mechanics 43, no. 4 (2012): 475–502. http://dx.doi.org/10.12989/sem.2012.43.4.475.

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43

Man, Nguyen-Khoa, Thierry Petitclerc, Nguyen-Quang Tien, Guillaume Jehenne, and Jean-Louis Funck-Brentano. "Clinical Validation of a Predictive Modeling Equation for Sodium." Artificial Organs 9, no. 2 (1985): 150–54. http://dx.doi.org/10.1111/j.1525-1594.1985.tb04365.x.

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44

Xu, Lei, Xiaoqin Ding, Tianhu Wang, Shanzhi Mou, Huiyong Sun, and Tingjun Hou. "Voltage-gated sodium channels: structures, functions, and molecular modeling." Drug Discovery Today 24, no. 7 (2019): 1389–97. http://dx.doi.org/10.1016/j.drudis.2019.05.014.

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45

Sharafi, Kiomars, Mehdi Fazlzadeh, Meghdad Pirsaheb, et al. "Wastewater disinfection using sodium dichloroisocyanate (NaDCC) and sodium hypochlorite (NaOCL): Modeling, optimization and comparative analysis." DESALINATION AND WATER TREATMENT 66 (2017): 221–28. http://dx.doi.org/10.5004/dwt.2017.20227.

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46

Åvall, Gustav, Jonas Mindemark, Daniel Brandell, and Patrik Johansson. "Sodium-Ion Batteries: Sodium-Ion Battery Electrolytes: Modeling and Simulations (Adv. Energy Mater. 17/2018)." Advanced Energy Materials 8, no. 17 (2018): 1870081. http://dx.doi.org/10.1002/aenm.201870081.

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47

Calvo, Florent. "Time-dependent solvation of potassium ions in helium nanodroplets: Interaction fingerprints." Low Temperature Physics 51, no. 4 (2025): 453–59. https://doi.org/10.1063/10.0036204.

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Alkali atoms that tend to reside at the surface of helium droplets become gradually solvated and embedded inside the droplets upon ionization. Recent laser experiments have monitored this process in real time, employing another dopant (xenon atom) whose ionization triggers Coulomb ejection of the partially solvated sodium cation. In this article we have carried out a complete atomistic modeling of the pump-probe double ionization process, in the case of potassium and in comparison with earlier similar modeling carried out for sodium [J. Chem. Phys. 161, 121101 (2024)]. While the phenomenology

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48

Bi, Jinghao, Weijun Qin, Dongjie Xie, Fan Xie, and Xiao Xu. "Modeling Wet Air Oxidation of Sodium Acetate in a Bubble Column." Processes 11, no. 10 (2023): 2926. http://dx.doi.org/10.3390/pr11102926.

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Scale-up bubble columns for wet air oxidation (WAO) represent a novel solution to the growing problem of sodium acetate-containing waste discharge. This study used an axial dispersion model to simulate a reactor at a high temperature of 320 °C. By minimizing the structure size and gas fed into the system, the estimated optimal reactor dimensions were obtained. At the optimized reactor diameter, total height, initial oxygen partial pressure, and superficial gas velocity of 1 m, 7 m, 40 bar, and 0.07 m/s, respectively, a degradation efficiency of over 90% was obtained, at which the residual conc

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49

Beck, David, Agata Greszta, Alexander Roberts, and Matthieu Dubarry. "Improved Mechanistic Degradation Modes Modeling of Lithium and Sodium Plating." Batteries 10, no. 12 (2024): 408. http://dx.doi.org/10.3390/batteries10120408.

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Lithium and sodium plating are inevitable when using negative electrodes with an electrochemical potential close to one of the charge carriers. Typical testing and modeling assume that plating occurs at 0 V when measured against the charge carrier. While this might be true under thermodynamic equilibrium, this is not true outside of steady state. This has significant implications as, by taking this into account, the testing voltage window of negative electrodes could be extended to allow gathering data for more complete discharges at higher rates. Moreover, from a modeling standpoint, it could

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50

Zharikov, A. Yu, Ya F. Zverev, V. V. Lampatov, et al. "The experience of oxalate nephrolithiasis therapy by sodium pyrophosphate in experiment." Bulletin of Siberian Medicine 10, no. 1 (2011): 32–37. http://dx.doi.org/10.20538/1682-0363-2011-1-32-37.

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The aim of the investigation was studying sodium pyrophosphate’s effect on experimental oxalate nephrolithiasis.Experimental nephrolithiasis modeling by using of 1% ethylenglycole’s solution as a drink for rats during 6 weeks. First group was control. In the second group since the third week was being administrated sodium pyrophosphate in dose 2 g/kg. Was detecting parameters of kidney’s function, markers enzymes activity, was carried out morphological researches.It was concluded that sodium pyrophosphate’s therapy reduce experimental oxalate nephrolithiasis.

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