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Biotechnology Among Computer Science and Data Science: A Review of Scientific Development

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Data Science and Algorithms in Systems (CoMeSySo 2022)

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Abstract

This paper tells of a human effort to overcome the problems of scientific development. The limitations of biology - as a basic science that discusses the life and human relations with the environment - require collaboration in other fields, where technology has played a good role in improving human capabilities. It has resulted in a study field called biotechnology. Similarly, one such technology is the computer, with the scientific framework being computer science. Temporary, the new sight is an issue that may arise from the problem of data size, which is indirectly related to the existence of a way to understand it, namely data science. Both of these fields have the potential to play a role in triggering scientific and efficient studies for biotechnology. The fact is that the business is still only a new pioneer.

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References

  1. Kudryavtsev, K., Malkov, U., Zhukovskiy, V.: Weak Berge Equilibrium. In: Kochetov, Y., Bykadorov, I., Gruzdeva, T. (eds.) MOTOR 2020. CCIS, vol. 1275, pp. 231–243. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58657-7_20

  2. Nasution, M.K.M., Hidayat, R., Syah, R.: Computer science. Int. J. Adv. Sci. Eng. Inf. Technol. 12(3), 1142–1159 (2022). https://doi.org/10.18517/ijaseit.12.3.14832

  3. Nasution, M.K.M.: Understanding data toward going to data science. Cybernetics Perspective in System Lecture Notes in Networks and System (LNNS), vol. 503, pp. 478–489 (2022). https://doi.org/10.1007/978-3-031-09073-8_42

  4. McDonald, A.R., Roberts, R., Koeppe, J.R., Hall, B.L.: Undergraduate structural biology education: a shift from users to developers of computation and simulation tools. Curr. Opin. Struct. Biol. 72, 39–45. https://doi.org/10.1016/j.sbi.2021.07.012

  5. Rosenblith, W.A.: Physics and biology where do they meet? Phys. Today 19(1), 23–34 (1966). https://doi.org/10.1063/1.3047973

    Article  MathSciNet  Google Scholar 

  6. Nasution, M.K.M.: Industry 4.0. IOP Conf. Ser.: Mater. Sci. Eng. 1003(1) (2020). https://doi.org/10.1088/1757-899X/1003/1/012145

  7. Cohen, I., Tagliaferri, M., Tripathy, D.: Traditional Chinese medicine in the treatment of breast cancer. Semin. Oncol. 29(6), 563–574 (2002). https://doi.org/10.1053/sonc.2002.50005

    Article  Google Scholar 

  8. Wang, X., Lin, F., Wang, X., Fang, S., Tan, J., Chu, W., Rong, R., Yin, J., Zhang, Z., Liu, Y., Guo, W.: Hydrovoltaic technology: from mechanism to applications. Chem. Soc. Rev. 51(12), 4902–4927 (2022). https://doi.org/10.1039/d1cs00778e

    Article  Google Scholar 

  9. Jain, R., Semwal, V.B., Kaushik, P.: Stride segmentation of inertial sensor data using statistical methods for different walking activities. Robotica 40(8), 2567–2580 (2022). https://doi.org/10.1017/S026357472100179X

    Article  Google Scholar 

  10. Nasution, M.K.M.: Mathematical philosophy. J. Res. Math. Trends Technol. 2(2), 45–60 (2020). https://doi.org/10.32734/jormtt.v2i2.4678

  11. Nasution, M.K.M.: The birth of a science. Hist. Sci. Technol. 10(2), 315–338 (2020). https://doi.org/10.32703/2415-7422-2020-10-2-315-338

  12. Wright, S.T.C.: An observation suggesting that the molecular weights of enzymes can be arranged in three geometric series. Nature 193(4813), 334–337 (1962). https://doi.org/10.1038/193334a0

    Article  Google Scholar 

  13. Fleischer, G.A., Mikhalkin, B.: A technical note: discounting the geometric series. Eng. Econ. 12(4), 217–221 (1967). https://doi.org/10.1080/00137916708965126

    Article  Google Scholar 

  14. Li, W., Chen, S.: Pricing and hedging of arithmetic Asian options via the Edgeworth series expansion approach. J. Finance Data Sci. 2(1), 1–25 (2016). https://doi.org/10.1016/j.jfds.2016.01.001

    Article  Google Scholar 

  15. Prave, P., Sukatsch, D.A., Faust, U.: Biotechnology: the industrial production of natural substances. Ming Stud. 1976(1), 85–103 (1976). https://doi.org/10.1179/mng.1976.1976.1.85

    Article  Google Scholar 

  16. Prave, P., Sukatsch, D.A., Faust, U.: Biotechnology: the industrial production of natural substances. Interdiscip. Sci. Rev. 1(1), 85–103 (1976). https://doi.org/10.1179/isr.1976.1.1.85

    Article  Google Scholar 

  17. Johnston, B.G., Wonder, B.S., Gerardi, W.: Emerging biotechnologies: some economic implications for agriculture and technology policy. Prometheus 3(1), 3–24 (1985). https://doi.org/10.1080/08109028508628968

    Article  Google Scholar 

  18. Masschelein, Ch.: Les Biotechnologies: Progres Recents et perspectives. Eur. J. Mech. Environ. Eng. 30(1–2), 49–52 (1983)

    Google Scholar 

  19. Elander, R.P.: Biotechnology: present and future roles in the pharmaceutical industry. Drug Dev. Ind. Pharmacy 11(5), 965–999 (1985). https://doi.org/10.3109/03639048509055593

    Article  Google Scholar 

  20. Sidwick, J.M.: Environmental biotechnology and the water industry. Effluent Water Treat. J. 25(8), 272–275 (1985)

    Google Scholar 

  21. Rattray, J.B.M.: Biotechnology and the fats and oils industry—an overview. J. Am. Oil Chem. Soc. 61(11), 1701–1712 (1984). https://doi.org/10.1007/BF02582132

    Article  Google Scholar 

  22. Eriksson, K.: Development and business economics of biotechnology. Kemla-Kemi/Finnish Chem. J. 11(11), 875–878 (1984)

    Google Scholar 

  23. Cumming, R.H.: Biotechnology—a new industry with new hazards? American Institute of Chemical Engineers, National Meeting (1984)

    Google Scholar 

  24. Soetan, K.O.: The dynamic and ubiquitous nature of biotechnology. Afr. J. Biotechnol. 7(16), 2768–2772 (2008)

    Google Scholar 

  25. Hogan, D., O’Flaherty, J.: Exploring the nature and culture of science as an academic discipline: implications for the integration of education for sustainable. Int. J. Sustain. High. Educ. 23(8), 120–147 (2022). https://doi.org/10.1108/IJSHE-06-2021-0236

    Article  Google Scholar 

  26. Prentis, S.: Biotechnology—pulling the threads together. Trends Biochem. Sci. 4(6), N125–N126 (1979). https://doi.org/10.1016/0968-0004(79)90432-8

    Article  Google Scholar 

  27. Nasution, M.K.M., Salim Sitompul, O., Budhiarti Nababan, E.: Data science. J. Phys.: Conf. Ser. 1566(1) (2020). https://doi.org/10.1088/1742-6596/1566/1/012034

  28. Borsboom, D.: Reflections on an emerging new science of mental disorders. Behav. Res. Ther. 156 (2022). https://doi.org/10.1016/j.brat.2022.104127

  29. Egelie, K.J., Lie, H.T., Grimpe, C., SØrheim, R.: Access and openness in biotechnology research collaborations between universities and industry. Nat. Biotechnol. 37(12), 1413–1419 (2019). https://doi.org/10.1038/s41587-019-0324-7

  30. Elveny, M., Khan, A., Nakhjiri, A.T., Albadarin, A.B.: A state-of-the-art review on the application of various pharmaceutical nanoparticles as a promising technology in cancer treatment. Arab. J. Chem. 14(10) (2021). https://doi.org/10.1016/j.arabjc.2021.103352

  31. Nasution, R.M.W., et al.: NIMO—Natural Molluscicide. Poster - Shafiyyatul Amaliyyah (2021)

    Google Scholar 

  32. Berg, P.: The physical and genetic organization of a viral genome. Crit. Rev. Biochem. Mol. Biol. 7(1), 75–82 (1979). https://doi.org/10.3109/10409237909102570

    Article  Google Scholar 

  33. Nasution, M.K.M., Harahap, A.S., Nasution, S., Herawati, E.: Triangle Number of Laurent polynomial for the closed braids \(\sigma ^{2j}\). IOP Conf. Ser.: Mater. Sci. Eng. 300(1) (2018)

    Google Scholar 

  34. Nasution, M.K.M.: A computation in the braid group. IOP Conf. Ser.: Mater. Sci. Eng. 725(1) (2020). https://doi.org/10.1088/1757-899X/725/1/012101

  35. Razeghian, E., Nasution, M.K.M., Rahman, H.S., Gardanova, Z.R., Abdelbasset, W.K., Aravindhan, S., Bokov, D.O., Suksatan, W., Nakhaei, P., Shariatzadeh, S., Marofi, F., Yazdanifar, M.: A deep insight into CRISPR/Cas9 application in CAR-T cell-based tumor immunotherapies. Stem Cell Res. Ther. 12(1) (2021). https://doi.org/10.1186/s13287-021-02510-7

  36. Chupradit, S., Nasution, M.K.M., Rahman, H.S., Suksatan, W., Turki Jalil, A., Abdelbasset, W.K., Bokov, D., Markov, A., Fardeeva, I.N., Widjaja, G., Shalaby, M.N., Saleh, M.M.: Various types of electrochemical biosensors for leukemia detection and therapeutic approaches. Anal. Biochem. (2022). https://doi.org/10.1016/j.ab.2022.114736

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Correspondence to Mahyuddin K. M. Nasution .

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Nasution, M.K.M., Nasution, R.M.W., Syah, R., Elveny, M. (2023). Biotechnology Among Computer Science and Data Science: A Review of Scientific Development. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Data Science and Algorithms in Systems. CoMeSySo 2022. Lecture Notes in Networks and Systems, vol 597. Springer, Cham. https://doi.org/10.1007/978-3-031-21438-7_76

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