Difference between revisions of "Scientific publications"

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Thanks to compatibility with a rich tradition of algorithms written in Pascal, generation of fast native code, and extensive cross-platform compatibility Free Pascal is an ideal basis for scientific applications. This may be the main reason why a plethora or research projects uses Lazarus and FPC.
 
Thanks to compatibility with a rich tradition of algorithms written in Pascal, generation of fast native code, and extensive cross-platform compatibility Free Pascal is an ideal basis for scientific applications. This may be the main reason why a plethora or research projects uses Lazarus and FPC.
  
This is a (probably always incomplete) list of research papers, abstracts, reports and other scientific publications about projects that employed Lazarus or Free Pascal for computational science.
+
This is a (probably always incomplete) list of research papers, abstracts, reports and other scientific publications about projects that employed Lazarus, Free Pascal or Pascal Script for computational science.
 
   
 
   
 
== Mathematics and Statistics ==
 
== Mathematics and Statistics ==

Revision as of 14:41, 13 December 2020

Thanks to compatibility with a rich tradition of algorithms written in Pascal, generation of fast native code, and extensive cross-platform compatibility Free Pascal is an ideal basis for scientific applications. This may be the main reason why a plethora or research projects uses Lazarus and FPC.

This is a (probably always incomplete) list of research papers, abstracts, reports and other scientific publications about projects that employed Lazarus, Free Pascal or Pascal Script for computational science.

Mathematics and Statistics

  1. Roberto D. Pascual-Marqui, Dietrich Lehmann, Kieko Kochi, Toshihiko Kinoshita, Naoto Yamada. A measure of association between vectors based on "similarity covariance". 2013. arXiv:1301.4291.

Physics

  1. Janik M, Łoskiewicz J, Tokonami S, Kozak K, Mazur J, Ishikawa T. Determination of the minimum measurement time for estimating long-term mean radon concentration. Radiat Prot Dosimetry. 2012 Nov;152(1-3):168-73. doi: 10.1093/rpd/ncs217. Epub 2012 Aug 23. doi 10.1093/rpd/ncs217. PMID 22923240.
  2. Gurgel, W.P., Gomes, L.M., Ferreira, F.C.L., & Gester, R.M.. (2015). Cálculo de velocidades em acidentes de trânsito: Um software para investigação em física forense. Revista Brasileira de Ensino de Física, 37(4), 4305-1-4305-10. doi 10.1590/S1806-11173741966.
  3. Tanaka, J. S.; O., Paiva-Santos. C.; Antonio, S. G.; "JST-DRX: A SOFTWARE TO GENERATE X-RAY POWDER DIFFRACTOGRAMS FROM PATENTS DATA", p. 42 . In: Proceedings of the International Symposium on Crystallography [Blucher Physics Proceedings, v.1, n.3]. São Paulo: Blucher, 2015. doi 10.5151/phypro-sic100-042.
  4. Sergey Prostov, Evgeniy Shabanov. Diagnostics of Oil Pollution Zones by Electro-Physical Method. E3S Web of Conferences 21, 02007 (2017) doi 10.1051/e3sconf/20172102007.

Chemistry

  1. Kostanyan AE, Shishilov ON. An easy-to-use calculating machine to simulate steady state and non-steady-state preparative separations by multiple dual mode counter-current chromatography with semi-continuous loading of feed mixtures. J Chromatogr A. 2018 Jun 1;1552:92-98. doi 10.1016/j.chroma.2018.04.010. Epub 2018 Apr 10. PMID 29673766.
  2. Kune C, Haler JRN, Far J, De Pauw E. Effectiveness and Limitations of Computational Chemistry and Mass Spectrometry in the Rational Design of Target-specific Shift Reagents for Ion Mobility Spectrometry. Chemphyschem. 2018 Nov 5;19(21):2921-2930. doi 10.1002/cphc.201800555. Epub 2018 Aug 21. PMID 30071143.

Meteorology and Athmospheric Sciences

  1. V. M. Vashchenko, I. B. Korduba, Ye. A. Loza, Zh. I. Patlashenko, O. O. Bannikov, Yu. M. Kryzska. Tornado statistics in Ukraine based on new data. Geofizicheskiy Zhurnal. 2018 40{3): 199-213. doi 10.24028/gzh.0203-3100.v40i3.2018.137206.

Geology

  1. Sergey Kotov and Heiko Paelike. MyDTW – Dynamic Time Warping program for stratigraphical time series. Geophysical Research Abstracts. 19, EGU2017-2157, 2017.
  2. Sergey Prostov and Evgeniy Shabanov. Geological-and-Geophysical Monitoring of Electrochemical Cleaning of Soil from Petroleum Pollution. E3S Web Conf., 41 (2018) 02002 doi 10.1051/e3sconf/20184102002.

General Cybernetics

  1. Andres B., Poler R., Rosas J., Camarinha-Matos L. (2016) A Decision-Support Tool to Deal with the Strategies Alignment Process in Collaborative Networks. In: Camarinha-Matos L.M., Falcão A.J., Vafaei N., Najdi S. (eds) Technological Innovation for Cyber-Physical Systems. DoCEIS 2016. IFIP Advances in Information and Communication Technology, vol 470. Springer, Cham. doi 10.1007/978-3-319-31165-4_1.
  2. Andres B, Poler R. A decision support system for the collaborative selection of strategies in enterprise networks. Decision Support Systems 2016 91: 113-23. doi 10.1016/j.dss.2016.08.005

Computer Science / Informatics

  1. S. Ribić and M. Beganović, "Cross compilation under Lazarus IDE," 2013 21st Telecommunications Forum Telfor (TELFOR), Belgrade, 2013, pp. 1007-1010, doi 10.1109/TELFOR.2013.6716402.
  2. C. P. E. Agbachi "Design and Application of Concurrent Double Key Survey Data Structures". International Journal of Computer Trends and Technology (IJCTT) V36(3):119-126, June 2016. ISSN:2231-2803. www.ijcttjournal.org. Seventh Sense Research Group. doi 10.14445/22312803/IJCTT-V36P121.
  3. Rui Pereira, Marco Couto, Francisco Ribeiro, Rui Rua, Jácome Cunha, João Paulo Fernandes, and João Saraiva. 2017. Energy efficiency across programming languages: how do energy, time, and memory relate? In Proceedings of the 10th ACM SIGPLAN International Conference on Software Language Engineering (SLE 2017). Association for Computing Machinery, New York, NY, USA, 256–267. doi 10.1145/3136014.3136031.

Life Sciences

  1. Lee W, Westler WM, Bahrami A, Eghbalnia HR, Markley JL. PINE-SPARKY: graphical interface for evaluating automated probabilistic peak assignments in protein NMR spectroscopy. Bioinformatics. 2009 Aug 15;25(16):2085-7. doi 10.1093/bioinformatics/btp345. Epub 2009 Jun 3. PMID 19497931; PMCID PMC2723000.
  2. Duplij V, Duplij S. Triander: A new program for visual analysis of nucleotide sequences. 2015. doi 10.13140/RG.2.1.2256.3360. arXiv:1504.04866
  3. Sergio Canovas, Carlos E. Cugnasca. Applying Model Driven Engineering to Develop a Bee Information System. 2015.
  4. Lee W, Cornilescu G, Dashti H, Eghbalnia HR, Tonelli M, Westler WM, Butcher SE, Henzler-Wildman KA, Markley JL. Integrative NMR for biomolecular research. J Biomol NMR. 2016 Apr;64(4):307-32. doi 10.1007/s10858-016-0029-x. Epub 2016 Mar 29. PMID 27023095; PMCID PMC4861749.
  5. Milica Lakovic, Oliver Mitesser, Thomas Hovestadt. Mating timing, dispersal and local adaptation in patchy environments. OIKOS 2017. doi 10.1111/oik.04369.
  6. Šimkus R, Meškienė R, Aučynaitė A, Ledas Ž, Baronas R, Meškys R. Phoretic interactions and oscillations in active suspensions of growing Escherichia coli. R Soc Open Sci. 2018 May 30;5(5):180008. doi 10.1098/rsos.180008. PMID 29892439; PMCID PMC5990789.

Medicine

  1. Aleksander Mendyk,Renata Jachowicz, Kamil Fijorek, Przemysław Dorożyński, Piotr Kulinowski, and Sebastian Polak. KinetDS: An Open Source Software for Dissolution Test Data Analysis. Dissolution Technologies. 2012. doi https://doi.org/10.14227/dt190112p6.
  2. Warren PA, Rushton SK, Foulkes AJ. Does optic flow parsing depend on prior estimation of heading? J Vis. 2012 Oct 11;12(11):8. doi: 10.1167/12.11.8. PMID 23064244; PMCID PMC3826327.
  3. Sato JR, Basilio R, Paiva FF, Garrido GJ, Bramati IE, Bado P, Tovar-Moll F, Zahn R, Moll J. Real-time fMRI pattern decoding and neurofeedback using FRIEND: an FSL-integrated BCI toolbox. PLoS One. 2013 Dec 2;8(12):e81658. doi 10.1371/journal.pone.0081658. PMID 24312569; PMCID PMC3847114.
  4. Foulkes AJ, Rushton SK, Warren PA. Heading recovery from optic flow: comparing performance of humans and computational models. Front Behav Neurosci. 2013 Jun 21;7:53. doi 10.3389/fnbeh.2013.00053. PMID 23801946; PMCID PMC3689323.
  5. Foulkes AJ, Rushton SK, Warren PA. Flow parsing and heading perception show similar dependence on quality and quantity of optic flow. Front Behav Neurosci. 2013 Jun 19;7:49. doi 10.3389/fnbeh.2013.00049. PMID 23801945; PMCID PMC3685810.
  6. Nevozhay D. Cheburator software for automatically calculating drug inhibitory concentrations from in vitro screening assays. PLoS One. 2014 Sep 3;9(9):e106186. doi 10.1371/journal.pone.0106186. PMID 25184280; PMCID PMC4153570.
  7. Pascual-Marqui RD, Biscay RJ, Bosch-Bayard J, Lehmann D, Kochi K, Kinoshita T, Yamada N, Sadato N. Assessing direct paths of intracortical causal information flow of oscillatory activity with the isolated effective coherence (iCoh). Front Hum Neurosci. 2014 Jun 20;8:448. doi 10.3389/fnhum.2014.00448. PMID 24999323; PMCID PMC4064566.
  8. Tol JP, Dahele M, Peltola J, Nord J, Slotman BJ, Verbakel WF. Automatic interactive optimization for volumetric modulated arc therapy planning. Radiat Oncol. 2015 Apr 1;10:75. doi 10.1186/s13014-015-0388-6. PMID 25885689; PMCID PMC4394415.
  9. Mendyk A, Güres S, Jachowicz R, Szlęk J, Polak S, Wiśniowska B, Kleinebudde P. From Heuristic to Mathematical Modeling of Drugs Dissolution Profiles: Application of Artificial Neural Networks and Genetic Programming. Comput Math Methods Med. 2015;2015:863874. doi 10.1155/2015/863874. Epub 2015 May 26. PMID 26101544; PMCID PMC4460208.
  10. Fuentes-Pananá EM, Larios-Serrato V, Méndez-Tenorio A, Morales-Sánchez A, Arias CF, Torres J. Assessment of Epstein-Barr virus nucleic acids in gastric but not in breast cancer by next-generation sequencing of pooled Mexican samples. Mem Inst Oswaldo Cruz. 2016 Mar;111(3):200-8. doi 10.1590/0074-02760150405. Epub 2016 Feb 19. PMID 26910355; PMCID PMC4804503.

Psychology

  1. Hoppe K, Küper K, Wascher E. Sequential Modulations in a Combined Horizontal and Vertical Simon Task: Is There ERP Evidence for Feature Integration Effects? Front Psychol. 2017 Jun 30;8:1094. doi 10.3389/fpsyg.2017.01094. PMID 28713305; PMCID PMC5492773.
  2. Alexandrowicz RW. The diffusion model visualizer: an interactive tool to understand the diffusion model parameters. Psychol Res. 2020 Jun;84(4):1157-1165. doi 10.1007/s00426-018-1112-6. Epub 2018 Oct 25. PMID 30361811; PMCID PMC7239816.

Agriculture

  1. Sergio Canovas, Carlos E. Cugnasca. Applying Model Driven Engineering to Develop a Bee Information System. 2015.
  2. Mark Spekken, Sytze de Bruin, José Paulo Molin, Gerd Sparovek. Planning machine paths and row crop patterns on steep surfaces to minimize soil erosion. Computers and Electronics in Agriculture 2016. 124: 194-210. doi: 10.1016/j.compag.2016.03.013

Architecture and Construction

  1. Snigireva V. (2016). Program for calculation snow and wind loads design individual house in the Perm Region. Bulletin of Science and Practice, 456(11 (12)), 166–169. doi 10.5281/zenodo.166802.

Technology

  1. Gabriel J, Restivo MT. Hands-on using on-line engineering: The trend to better solutions. 2009 3rd IEEE International Conference on E-Learning in Industrial Electronics (ICELIE), Porto, 2009, pp. 64-68, doi 10.1109/ICELIE.2009.5413210.
  2. Alisa Kosach, Evgeny Kovshov. Development of a Computer Based Problem-Oriented Automated Remote Leakage Detection Control System. ITM Web Conf. 10 01005 (2017). doi 10.1051/itmconf/20171001005.
  3. Costa, José Nilton de Abreu, Castro, Marco Aurélio Holanda de, Costa, Luís Henrique Magalhães, & Barbosa, João Marcelo Costa. (2018). New formula proposal for the determination of variable speed pumps efficiency. RBRH, 23, e44. Epub October 11, 2018. doi 10.1590/2318-0331.231820180003.

Education

  1. Lin YW, Zini E. Free/libre open source software implementation in schools: Evidence from the field and implications for the future. Computers & Education. 2008;50(3):1092-1102. doi 10.1016/j.compedu.2006.11.001.


See also

External Links